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Wang K, Han Y, Ye Y, Chen Y, Zhu D, Huang Y, Huang Y, Chen Y, Shi J, Ding B, Huang J. Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net. J Bone Oncol 2025; 50:100654. [PMID: 39839577 PMCID: PMC11745962 DOI: 10.1016/j.jbo.2024.100654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 11/18/2024] [Accepted: 11/26/2024] [Indexed: 01/23/2025] Open
Abstract
Objective Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. After realizing automatic segmentation and 3D reconstruction of osteosarcoma by optimizing feature extraction and improving target space clustering capabilities, we built a mixed reality (MR) infrastructure and explored the application prospects of the infrastructure combining deep learning-based medical image segmentation and mixed reality in the diagnosis and treatment of bone tumors. Methods We conducted experiments using a hospital dataset for bone tumor segmentation, used the optimized DCU-Net and 3D reconstruction technology to generate bone tumor models, and used set similarity (DSC), recall (R), precision (P), and 3D vertex distance error (VDE) to evaluate segmentation performance and 3D reconstruction effects. Then, two surgeons conducted clinical examination experiments on patients using two different methods, viewing 2D images and virtual reality infrastructure, and used the Likert scale (LS) to compare the effectiveness of surgical plans of the two methods. Results The DSC, R and P values of the model introduced in this paper all exceed 90%, which has significant advantages compared with methods such as U-Net and Attention-Uet. Furthermore, LS showed that clinicians in the DCU-Net-based MR group had better spatial awareness of tumor preoperative planning. Conclusion The deep learning DCU-Net algorithm model can improve the performance of tumor CT image segmentation, and the reconstructed fine model can better reflect the actual situation of individual tumors; the MR system constructed based on this model enhances clinicians' understanding of tumor morphology and spatial relationships. The MR system based on deep learning and three-dimensional visualization technology has great potential in the diagnosis and treatment of bone tumors, and is expected to promote clinical practice and improve efficacy.
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Affiliation(s)
- Kun Wang
- Institute of Design, Quanzhou Normal University, Quanzhou 362000, China
| | - Yong Han
- School of Design, Quanzhou University of Information Engineering, Quanzhou, Fujian 362000, China
| | - Yuguang Ye
- School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China
- Fujian Provincial Key Laboratory of Data-Intensive Computing, Quanzhou Normal University, Quanzhou, 362001, China
- Key Laboratory of Intelligent Computing and Information Processing (Quanzhou Normal University), Fujian Province University, Quanzhou, 362001, China
| | - Yusi Chen
- School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China
- Fujian Provincial Key Laboratory of Data-Intensive Computing, Quanzhou Normal University, Quanzhou, 362001, China
- Key Laboratory of Intelligent Computing and Information Processing (Quanzhou Normal University), Fujian Province University, Quanzhou, 362001, China
| | - Daxin Zhu
- School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China
- Fujian Provincial Key Laboratory of Data-Intensive Computing, Quanzhou Normal University, Quanzhou, 362001, China
- Key Laboratory of Intelligent Computing and Information Processing (Quanzhou Normal University), Fujian Province University, Quanzhou, 362001, China
| | - Yifeng Huang
- Department of Diagnostic Radiology, Huaqiao University Affliated Strait Hospital, Quanzhou, Fujian 362000, China
| | - Ying Huang
- Department of Diagnostic Radiology, Huaqiao University Affliated Strait Hospital, Quanzhou, Fujian 362000, China
| | - Yijie Chen
- Department of General Surgery, Huaqiao University Affliated Strait Hospital, Quanzhou, Fujian 362000, China
| | - Jianshe Shi
- Department of General Surgery, Huaqiao University Affliated Strait Hospital, Quanzhou, Fujian 362000, China
| | - Bijiao Ding
- Department of Diagnostic Radiology, Huaqiao University Affliated Strait Hospital, Quanzhou, Fujian 362000, China
| | - Jianlong Huang
- School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China
- Fujian Provincial Key Laboratory of Data-Intensive Computing, Quanzhou Normal University, Quanzhou, 362001, China
- Key Laboratory of Intelligent Computing and Information Processing (Quanzhou Normal University), Fujian Province University, Quanzhou, 362001, China
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Junga A, Kockwelp P, Valkov D, Schulze H, Bozdere P, Hätscher O, Ahrens H, Marschall B, Risse B, Holling M. Teach the Unteachable with a Virtual Reality (VR) Brain Death Scenario - 800 Students and 3 Years of Experience. PERSPECTIVES ON MEDICAL EDUCATION 2025; 14:44-54. [PMID: 39897616 PMCID: PMC11784512 DOI: 10.5334/pme.1427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 11/26/2024] [Indexed: 02/04/2025]
Abstract
Introduction Traditionally, clinical education has combined classroom theory with hospital-based practical experiences. Over the past 50 years, simulation-based training, particularly virtual reality (VR), has gained prominence for its flexibility and scalability. This article describes the development, implementation and evaluation of a VR-based brain death diagnostic training module at the University of Münster over a three-year period. Methods A multidisciplinary team developed the VR scenario to simulate a realistic intensive care unit, in line with German guidelines for brain death diagnosis. The module includes a tutorial and a preparatory video podcast to accommodate varying levels of VR experience. The course maintained its former small-group format, integrating VR to replace a manikin-based brain death examination. A randomized pilot study compared the traditional and VR-based approaches. Results Feedback from over 800 students indicated a strong preference for VR training, with a significant increase in perceived competence in brain death diagnosis. The VR module also increased the individual training time and provided more varied clinical scenarios than traditional methods. Continuous feedback led to iterative improvements, including reflex simulations and improved hardware management. Discussion The VR-based training was well received, demonstrating its potential to revolutionize medical education by providing immersive, realistic simulations. Challenges such as initial hardware adaptation and high personnel costs were addressed through comprehensive tutorials and structural adjustments. The success of this module has led to the development of additional VR courses, optimizing the use of hardware and justifying the initial investment. Conclusion The integration of VR into medical education at the University of Münster has proven effective, enhancing student engagement and competence in brain death diagnosis. The positive outcomes suggest a promising future for VR in medical education, highlighting the importance of innovative tools in the preparation of future medical professionals. Efforts are continuing to broaden the application and accessibility of VR-based training.
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Affiliation(s)
- Anna Junga
- Institute of Medical Education and Student Affairs, University of Münster, Münster, Germany
| | - Pascal Kockwelp
- Institute for Geoinformatics and Institute for Computer Science, University of Münster, Münster, Germany
| | - Dimitar Valkov
- Faculty of Natural Sciences and Technology Saarland University, Germany
| | - Henriette Schulze
- Institute of Medical Education and Student Affairs, University of Münster, Münster, Germany
| | - Philipp Bozdere
- Institute for Society and Digital Media, Münster University of Applied Sciences, Münster, Germany
| | - Ole Hätscher
- Department of Psychology, University of Münster, Münster, Germany
| | - Helmut Ahrens
- Institute of Medical Education and Student Affairs, University of Münster, Münster, Germany
| | - Bernhard Marschall
- Institute of Education and Student Affairs, University of Münster, Münster, Germany
| | - Benjamin Risse
- Institute for Geoinformatics and the Institute for Computer Science, University of Münster, Münster, Germany
| | - Markus Holling
- Department of Neurosurgery, University Hospital Münster, Münster, Germany
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Akinwale OB, Abiona O, Oluwatope AO, Otuyemi OD, Ijarotimi OA, Olubusola Komolafe A, Aregbesola SB, Kolawole BA, Adetutu OM, Agunbiade OM, Ayinde AT, Idowu L, Okunola OA, Adediwura AA. Designing a virtual reality system for clinical education and examination. COMPUTERS & EDUCATION: X REALITY 2024; 5:100083. [DOI: 10.1016/j.cexr.2024.100083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Morichon A, Dannhoff G, Barantin L, Destrieux C, Maldonado IL. Doing more with less: Realistic stereoscopic three-dimensional anatomical modeling from smartphone photogrammetry. ANATOMICAL SCIENCES EDUCATION 2024; 17:864-877. [PMID: 38488189 DOI: 10.1002/ase.2402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 02/19/2024] [Accepted: 02/25/2024] [Indexed: 06/01/2024]
Abstract
Traditional teaching methods struggle to convey three-dimensional concepts effectively. While 3D virtual models and virtual reality platforms offer a promising approach to teaching anatomy, their cost and specialized equipment pose limitations, especially in disadvantaged areas. A simpler alternative is to use virtual 3D models displayed on regular screens, but they lack immersion, realism, and stereoscopic vision. To address these challenges, we developed an affordable method utilizing smartphone-based 360° photogrammetry, virtual camera recording, and stereoscopic display (anaglyph or side-by-side technique). In this study, we assessed the feasibility of this method by subjecting it to various specimen types: osteological, soft organ, neuroanatomical, regional dissection, and a dedicated 3D-printed testing phantom. The results demonstrate that the 3D models obtained feature a complete mesh with a high level of detail and a realistic texture. Mesh and texture resolutions were estimated to be approximately 1 and 0.2 mm, respectively. Additionally, stereoscopic animations were both feasible and effective in enhancing depth perception. The simplicity and affordability of this method position it as a technique of choice for creating easily photorealistic anatomical models combined with stereoscopic depth visualization.
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Affiliation(s)
- Alex Morichon
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Guillaume Dannhoff
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
- Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France
| | | | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
- CHRU de Tours, Tours, France
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Zhu H, Xu J, Wang P, Liu H, Chen T, Zhao Z, Ji L. The status of virtual simulation experiments in medical education in China: based on the national virtual simulation experiment teaching Center (iLAB-X). MEDICAL EDUCATION ONLINE 2023; 28:2272387. [PMID: 37883485 PMCID: PMC10984652 DOI: 10.1080/10872981.2023.2272387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/13/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Virtual simulation experiments have been rapidly applied to medical education curricula in recent years. China constructed a national virtual simulation experimental teaching center (iLAB-X), and this platform covered almost all of the virtual simulation experiment curricula of domestic colleges or universities. We aimed to comprehensively assess the characteristics and usages of virtual simulation experiments in medical education based on iLAB-X. METHODS A total of 480 virtual simulation experiment courses had been constructed on iLAB-X (https://www.ilab-x.com/) by December 20, 2022, and the curriculum level, type and design were all searched in this platform. We also conducted an evaluation of curriculum usage and online tests, including the page view, frequency of participation, number of participants, duration of experimental learning and passing rate of the experimental test. RESULTS The national and provincial high-quality virtual simulation experiment curricula accounted for 33.5% (161/480) and 35.8% (172/480), respectively. The curricula were mainly set as basic practice experiments (46.5%) and synthetic designing experiments (48.8%). Significantly, forensic medicine (100%), public health and preventive medicine (83%) and basic medical sciences (66%) focused on synthetic design experiments. In terms of usage experiments, the average duration of experimental learning was 25 minutes per course, and the average number of participants was just 1257. The average passing (score ≥60) rate of online tests was 80.6%, but the average rate of score ≥ 85 was only 58.5%. In particular, the average page views, the number of participants, the duration of learning and the test passing rate of clinical medicine were relatively low. CONCLUSIONS The curriculum design features, construction level and utilization rate varied in different medical majors. Virtual simulation experiments are particularly underutilized in clinical medicine. There is a long way for virtual simulation experiments to go to become a supplement or alternative for traditional medical education in the future.
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Affiliation(s)
- Hui Zhu
- Department of Internal Medicine, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Jin Xu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Penghao Wang
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Hongyi Liu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Tao Chen
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Zhijia Zhao
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
| | - Lindan Ji
- Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, Zhejiang, P. R. China
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Yahiro DS, Abrantes JCDS, Magliano DC, Mesquita CT. Criação de Modelos Embriológicos Cardíacos para Impressão 3D para Ensino de Anatomia e Embriologia. Arq Bras Cardiol 2023; 120:e20220632. [PMID: 37098991 PMCID: PMC10124573 DOI: 10.36660/abc.20220632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/14/2022] [Indexed: 04/08/2023] Open
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Fang TY, Hsu SY, Su JM, Wang PC. Development of a mobile tele-education system to assist remote otolaryngology learning during COVID-19 pandemic. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE UPDATE 2023; 3:100102. [PMID: 36925661 PMCID: PMC9995394 DOI: 10.1016/j.cmpbup.2023.100102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/07/2023] [Indexed: 06/16/2023]
Abstract
Background Developing clinical thinking competence (CTC) is crucial for physicians, but effective methods for cultivation and evaluation are a significant challenge. Classroom teaching and paper-and-pencil tests are insufficient, and clinical field learning is difficult to implement, especially during the COVID-19 pandemic. Simulation learning is a useful alternative, but existing methods, e.g., OSCE, 3D AR/VR, and SimMan, have limitations in terms of time, space, and cost. Objective This study aims to present the design and development of an Otolaryngology Mobile Tele-education System (OMTS) to facilitate CTC learning, and to evaluate the system's usability with senior otolaryngology experts. Methods The OMTS system utilizes the convenience of mobile learning and the touch function of mobile devices to assist users (medical students or post-graduate physicians) in learning CTC remotely. Clinical knowledge and system functions in the OMTS system are defined by senior experts based on required CTC learning cases. Through simulated clinical case scenarios, users can engage in interactive clinical inquiry, practice required physical and laboratory examinations, make treatment decisions based on simulated responses, and understand and correct learning problems through a diagnostic report for effective learning. Usability testing of the OMTS system was evaluated by three senior otolaryngology experts using measurements of content validity, system usability, and mental workload during their available time and location. Results Statistical results of experts' evaluation showed that the OMTS system has good content validity, marginal-to-acceptable system usability, and moderate mental workload. Experts agreed that the system was efficient, professional, and usable for learning, although the practicality of the clinical inquiry and hands-on practice functions could be improved further. Conclusions Based on the OMTS system, users can efficiently hands-on practice and learn clinical cases in otolaryngology, and understand and correct their problems according to the diagnostic report. Therefore, the OMTS system can be expected to facilitate CTC learning according to experts' evaluation.
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Affiliation(s)
- Te-Yung Fang
- Department of Otolaryngology Head Neck Surgery, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, Fu Jen Catholic University, Taipei, Taiwan
| | - Su-Yi Hsu
- Department of Otolaryngology Head Neck Surgery, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, Fu Jen Catholic University, Taipei, Taiwan
| | - Jun-Ming Su
- Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan
| | - Pa-Chun Wang
- Department of Otolaryngology Head Neck Surgery, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, Fu Jen Catholic University, Taipei, Taiwan
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Bueckle A, Qing C, Luley S, Kumar Y, Pandey N, Börner K. The HRA Organ Gallery Affords Immersive Superpowers for Building and Exploring the Human Reference Atlas with Virtual Reality. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.13.528002. [PMID: 36824790 PMCID: PMC9949060 DOI: 10.1101/2023.02.13.528002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
The Human Reference Atlas (HRA, https://humanatlas.io ) funded by the NIH Human Biomolecular Atlas Program (HuBMAP, https://commonfund.nih.gov/hubmap ) and other projects engages 17 international consortia to create a spatial reference of the healthy adult human body at single-cell resolution. The specimen, biological structure, and spatial data that define the HRA are disparate in nature and benefit from a visually explicit method of data integration. Virtual reality (VR) offers unique means to enable users to explore complex data structures in a threedimensional (3D) immersive environment. On a 2D desktop application, the 3D spatiality and real-world size of the 3D reference organs of the atlas is hard to understand. If viewed in VR, the spatiality of the organs and tissue blocks mapped to the HRA can be explored in their true size and in a way that goes beyond traditional 2D user interfaces. Added 2D and 3D visualizations can then provide data-rich context. In this paper, we present the HRA Organ Gallery, a VR application to explore the atlas in an integrated VR environment. Presently, the HRA Organ Gallery features 55 3D reference organs,1,203 mapped tissue blocks from 292 demographically diverse donors and 15 providers that link to 5,000+ datasets; it also features prototype visualizations of cell type distributions and 3D protein structures. We outline our plans to support two biological use cases: on-ramping novice and expert users to HuBMAP data available via the Data Portal ( https://portal.hubmapconsortium.org ), and quality assurance/quality control (QA/QC) for HRA data providers . Code and onboarding materials are available at https://github.com/cns-iu/ccf-organ-vr-gallery#readme .
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Affiliation(s)
- Andreas Bueckle
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Catherine Qing
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
- Department of Humanities & Sciences, Stanford University, Stanford, CA 94305, USA
| | - Shefali Luley
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Yash Kumar
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Naval Pandey
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Katy Börner
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
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Bueckle A, Qing C, Luley S, Kumar Y, Pandey N, Börner K. The HRA Organ Gallery affords immersive superpowers for building and exploring the Human Reference Atlas with virtual reality. FRONTIERS IN BIOINFORMATICS 2023; 3:1162723. [PMID: 37181487 PMCID: PMC10174312 DOI: 10.3389/fbinf.2023.1162723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/10/2023] [Indexed: 05/16/2023] Open
Abstract
The Human Reference Atlas (HRA, https://humanatlas.io) funded by the NIH Human Biomolecular Atlas Program (HuBMAP, https://commonfund.nih.gov/hubmap) and other projects engages 17 international consortia to create a spatial reference of the healthy adult human body at single-cell resolution. The specimen, biological structure, and spatial data that define the HRA are disparate in nature and benefit from a visually explicit method of data integration. Virtual reality (VR) offers unique means to enable users to explore complex data structures in a three-dimensional (3D) immersive environment. On a 2D desktop application, the 3D spatiality and real-world size of the 3D reference organs of the atlas is hard to understand. If viewed in VR, the spatiality of the organs and tissue blocks mapped to the HRA can be explored in their true size and in a way that goes beyond traditional 2D user interfaces. Added 2D and 3D visualizations can then provide data-rich context. In this paper, we present the HRA Organ Gallery, a VR application to explore the atlas in an integrated VR environment. Presently, the HRA Organ Gallery features 55 3D reference organs, 1,203 mapped tissue blocks from 292 demographically diverse donors and 15 providers that link to 6,000+ datasets; it also features prototype visualizations of cell type distributions and 3D protein structures. We outline our plans to support two biological use cases: on-ramping novice and expert users to HuBMAP data available via the Data Portal (https://portal.hubmapconsortium.org), and quality assurance/quality control (QA/QC) for HRA data providers. Code and onboarding materials are available at https://github.com/cns-iu/hra-organ-gallery-in-vr.
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Affiliation(s)
- Andreas Bueckle
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
- *Correspondence: Andreas Bueckle, ; Catherine Qing,
| | - Catherine Qing
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
- Department of Humanities and Sciences, Stanford University, Stanford, CA, United States
- *Correspondence: Andreas Bueckle, ; Catherine Qing,
| | - Shefali Luley
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
| | - Yash Kumar
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
| | - Naval Pandey
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
| | - Katy Börner
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States
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Hsin LJ, Chao YP, Chuang HH, Kuo TBJ, Yang CCH, Huang CG, Kang CJ, Lin WN, Fang TJ, Li HY, Lee LA. Mild simulator sickness can alter heart rate variability, mental workload, and learning outcomes in a 360° virtual reality application for medical education: a post hoc analysis of a randomized controlled trial. VIRTUAL REALITY 2022; 27:1-17. [PMID: 36118174 PMCID: PMC9470506 DOI: 10.1007/s10055-022-00688-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 04/28/2022] [Indexed: 06/02/2023]
Abstract
Virtual reality (VR) applications could be beneficial for education, training, and treatment. However, VR may induce symptoms of simulator sickness (SS) such as difficulty focusing, difficulty concentrating, or dizziness that could impair autonomic nervous system function, affect mental workload, and worsen interventional outcomes. In the original randomized controlled trial, which explored the effectiveness of using a 360° VR video versus a two-dimensional VR video to learn history taking and physical examination skills, only the former group participants had SS. Therefore, 28 undergraduate medical students who participated in a 360° VR learning module were included in this post hoc study using a repeated measures design. Data of the Simulator Sickness Questionnaire (SSQ), heart rate variability (HRV) analysis, Task Load Index, and Mini-Clinical Evaluation Exercise were retrospectively reviewed and statistically analyzed. Ten (36%) participants had mild SS (total score > 0 and ≤ 20), and 18 (64%) had no SS symptom. Total SSQ score was positively related to the very low frequency (VLF) band power, physical demand subscale, and frustration subscale, and inversely related to physical examination score. Using multilevel modeling, the VLF power mediated the relationship between total SSQ score and physical examination score. Furthermore, frustration subscale moderated the mediating effects of the VLF power. Our results highlight the importance of documenting SS to evaluate a 360° VR training program. Furthermore, the combination of HRV analysis with mental workload measurement and outcome assessments provided the important clinical value in evaluating the effects of SS in VR applications in medical education.
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Affiliation(s)
- Li-Jen Hsin
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Yi-Ping Chao
- Department of Computer Science and Information Engineering, Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, 33302 Taiwan
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, 33305 Taiwan
| | - Hai-Hua Chuang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
- Department of Family Medicine, Taipei Branch and Linkou Main Branch, Linkou Medical Center, Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan, 33305 Taiwan, Republic of China
- Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, 10608 Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, 300044 Taiwan
| | - Terry B. J. Kuo
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, 11221 Taiwan
| | - Cheryl C. H. Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, 11221 Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 33305 Taiwan
- Department of Medical Biotechnology and Laboratory Science, Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Chung-Jan Kang
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Wan-Ni Lin
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Tuan-Jen Fang
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Hsueh-Yu Li
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
| | - Li-Ang Lee
- Department of Otorhinolaryngology-Head and Neck Surgery, Sleep Center, Linkou Medical Center, Linkou Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Taoyuan City, 33305 Taiwan, Republic of China
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, 33302 Taiwan
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, 11221 Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, 300044 Taiwan
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Cornejo J, Cornejo-Aguilar JA, Vargas M, Helguero CG, Milanezi de Andrade R, Torres-Montoya S, Asensio-Salazar J, Rivero Calle A, Martínez Santos J, Damon A, Quiñones-Hinojosa A, Quintero-Consuegra MD, Umaña JP, Gallo-Bernal S, Briceño M, Tripodi P, Sebastian R, Perales-Villarroel P, De la Cruz-Ku G, Mckenzie T, Arruarana VS, Ji J, Zuluaga L, Haehn DA, Paoli A, Villa JC, Martinez R, Gonzalez C, Grossmann RJ, Escalona G, Cinelli I, Russomano T. Anatomical Engineering and 3D Printing for Surgery and Medical Devices: International Review and Future Exponential Innovations. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6797745. [PMID: 35372574 PMCID: PMC8970887 DOI: 10.1155/2022/6797745] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/16/2022] [Accepted: 02/24/2022] [Indexed: 12/26/2022]
Abstract
Three-dimensional printing (3DP) has recently gained importance in the medical industry, especially in surgical specialties. It uses different techniques and materials based on patients' needs, which allows bioprofessionals to design and develop unique pieces using medical imaging provided by computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, the Department of Biology and Medicine and the Department of Physics and Engineering, at the Bioastronautics and Space Mechatronics Research Group, have managed and supervised an international cooperation study, in order to present a general review of the innovative surgical applications, focused on anatomical systems, such as the nervous and craniofacial system, cardiovascular system, digestive system, genitourinary system, and musculoskeletal system. Finally, the integration with augmented, mixed, virtual reality is analyzed to show the advantages of personalized treatments, taking into account the improvements for preoperative, intraoperative planning, and medical training. Also, this article explores the creation of devices and tools for space surgery to get better outcomes under changing gravity conditions.
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Affiliation(s)
- José Cornejo
- Facultad de Ingeniería, Universidad San Ignacio de Loyola, La Molina, Lima 15024, Peru
- Department of Medicine and Biology & Department of Physics and Engineering, Bioastronautics and Space Mechatronics Research Group, Lima 15024, Peru
| | | | | | | | - Rafhael Milanezi de Andrade
- Robotics and Biomechanics Laboratory, Department of Mechanical Engineering, Universidade Federal do Espírito Santo, Brazil
| | | | | | - Alvaro Rivero Calle
- Department of Oral and Maxillofacial Surgery, Hospital 12 de Octubre, Madrid, Spain
| | - Jaime Martínez Santos
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA
| | - Aaron Damon
- Department of Neurosurgery, Mayo Clinic, FL, USA
| | | | | | - Juan Pablo Umaña
- Cardiovascular Surgery, Instituto de Cardiología-Fundación Cardioinfantil, Universidad del Rosario, Bogotá DC, Colombia
| | | | - Manolo Briceño
- Villamedic Group, Lima, Peru
- Clínica Internacional, Lima, Peru
| | | | - Raul Sebastian
- Department of Surgery, Northwest Hospital, Randallstown, MD, USA
| | | | - Gabriel De la Cruz-Ku
- Universidad Científica del Sur, Lima, Peru
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Jiakai Ji
- Obstetrics and Gynecology, Lincoln Medical and Mental Health Center, Bronx, NY, USA
| | - Laura Zuluaga
- Department of Urology, Fundación Santa Fe de Bogotá, Colombia
| | | | - Albit Paoli
- Howard University Hospital, Washington, DC, USA
| | | | | | - Cristians Gonzalez
- Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut of Image-Guided Surgery (IHU-Strasbourg), Strasbourg, France
| | | | - Gabriel Escalona
- Experimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Santiago, Chile
| | - Ilaria Cinelli
- Aerospace Human Factors Association, Aerospace Medical Association, VA, USA
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12
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Santos VA, Barreira MP, Saad KR. Technological resources for teaching and learning about human anatomy in the medical course: Systematic review of literature. ANATOMICAL SCIENCES EDUCATION 2022; 15:403-419. [PMID: 34664384 DOI: 10.1002/ase.2142] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
The consolidation of technology as an alternative strategy to cadaveric dissection for teaching anatomy in medical courses was accelerated by the recent Covid-19 pandemic, which caused the need for social distance policies and the closure of laboratories and classrooms. Consequently, new technologies were created, and those already been developed started to be better explored. However, information about many of these instruments and resources is not available to anatomy teachers. This systematic review presents the technological means for teaching and learning about human anatomy developed and applied in medical courses in the last ten years, besides the infrastructure necessary to use them. Studies in English, Portuguese, and Spanish were searched in MEDLINE, Scopus, ERIC, LILACS, and SciELO databases, initially resulting in a total of 875 identified articles, from which 102 were included in the analysis. They were classified according to the type of technology used: three-dimensional (3D) printing (n = 22), extended reality (n = 49), digital tools (n = 23), and other technological resources (n = 8). It was made a detailed description of technologies, including the stage of the medical curriculum in which it was applied, the infrastructure utilized, and which contents were covered. The analysis shows that between all technologies, those related to the internet and 3D printing are the most applicable, both in student learning and the financial cost necessary for its structural implementation.
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Affiliation(s)
- Vinícius A Santos
- School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
| | - Matheus P Barreira
- School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
| | - Karen R Saad
- Department of Morphology, School of Medicine, Universidade Federal do Vale do São Francisco, Petrolina, Brazil
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Jiang H, Vimalesvaran S, Wang JK, Lim KB, Mogali SR, Car LT. Virtual Reality in Medical Students' Education: Scoping Review. JMIR MEDICAL EDUCATION 2022; 8:e34860. [PMID: 35107421 PMCID: PMC8851326 DOI: 10.2196/34860] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/25/2021] [Accepted: 12/30/2021] [Indexed: 05/12/2023]
Abstract
BACKGROUND Virtual reality (VR) produces a virtual manifestation of the real world and has been shown to be useful as a digital education modality. As VR encompasses different modalities, tools, and applications, there is a need to explore how VR has been used in medical education. OBJECTIVE The objective of this scoping review is to map existing research on the use of VR in undergraduate medical education and to identify areas of future research. METHODS We performed a search of 4 bibliographic databases in December 2020. Data were extracted using a standardized data extraction form. The study was conducted according to the Joanna Briggs Institute methodology for scoping reviews and reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. RESULTS Of the 114 included studies, 69 (60.5%) reported the use of commercially available surgical VR simulators. Other VR modalities included 3D models (15/114, 13.2%) and virtual worlds (20/114, 17.5%), which were mainly used for anatomy education. Most of the VR modalities included were semi-immersive (68/114, 59.6%) and were of high interactivity (79/114, 69.3%). There is limited evidence on the use of more novel VR modalities, such as mobile VR and virtual dissection tables (8/114, 7%), as well as the use of VR for nonsurgical and nonpsychomotor skills training (20/114, 17.5%) or in a group setting (16/114, 14%). Only 2.6% (3/114) of the studies reported the use of conceptual frameworks or theories in the design of VR. CONCLUSIONS Despite the extensive research available on VR in medical education, there continue to be important gaps in the evidence. Future studies should explore the use of VR for the development of nonpsychomotor skills and in areas other than surgery and anatomy. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2020-046986.
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Affiliation(s)
- Haowen Jiang
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Sunitha Vimalesvaran
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Jeremy King Wang
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Kee Boon Lim
- School of Biological Sciences, Nanyang Technological University Singapore, Singapore, Singapore
| | | | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
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Zilverschoon M, Custers EJ, Ten Cate O, Kruitwagen CLJJ, Bleys RLAW. Support for using a three-dimensional anatomy application over anatomical atlases in a randomized comparison. ANATOMICAL SCIENCES EDUCATION 2022; 15:178-186. [PMID: 34142455 DOI: 10.1002/ase.2110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 05/01/2021] [Accepted: 06/13/2021] [Indexed: 06/12/2023]
Abstract
To investigate to what extent the use of a three-dimensional (3D) anatomy computer application can improve the acquisition of anatomical knowledge compared with anatomical atlases, junior and advanced medical students participated in an experiment. Participants were asked to answer anatomical questions with the use of a 3D anatomy application (developed at the University Medical Center in Utrecht, the Netherlands) or anatomy atlases. Every student had to complete two assignments, either with an atlas or with the 3D anatomy application. One assignment consisted of 20 questions about the anatomy of the hand, the other one had 20 questions about the anatomy of the foot. The scores on the assignments and time to complete the assignments were registered and investigated. A total of 76 students participated. Students scored significantly higher and were significantly faster when they used the 3D anatomy application. Junior medical students were significantly faster than advanced medical students and particularly, advanced students who worked with an atlas needed most time. These results suggest that the 3D anatomy application is more effective as a studying tool, when compared to the use of paper atlases, for both junior and advanced medical students. The difference in time could indicate an influence of the increased number of mental steps it takes to convert two-dimensional atlas images to a 3D mental representation compared to using the 3D anatomy application, although practical issues explaining this cannot be ruled out. Future studies should establish whether the application leads to better learning/retention and to more time-efficient studying.
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Affiliation(s)
- Marijn Zilverschoon
- Department of Anatomy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Eugene J Custers
- Center for Research and Development of Education, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Olle Ten Cate
- Center for Research and Development of Education, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Cas L J J Kruitwagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ronald L A W Bleys
- Department of Anatomy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Facilitating Student Understanding through Incorporating Digital Images and 3D-Printed Models in a Human Anatomy Course. EDUCATION SCIENCES 2021. [DOI: 10.3390/educsci11080380] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Combining classical educational methods with interactive three-dimensional (3D) visualization technology has great power to support and provide students with a unique opportunity to use them in the study process, training, and/or simulation of different medical procedures in terms of a Human Anatomy course. In 2016, Rīga Stradiņš University (RSU) offered students the 3D Virtual Dissection Table “Anatomage” with possibilities of virtual dissection and digital images at the Department of Morphology. The first 3D models were printed in 2018 and a new printing course was integrated into the Human Anatomy curriculum. This study was focused on the interaction of students with digital images, 3D models, and their combinations. The incorporation and use of digital technologies offered students great tools for their creativity, increased the level of knowledge and skills, and gave them a possibility to study human body structures and to develop relationships between basic and clinical studies.
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Virtual Reality System and Scientific Visualisation for Smart Designing and Evaluating of Lighting. ENERGIES 2020. [DOI: 10.3390/en13205518] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The current lighting solutions, both in terms of design process and later implementation, are becoming more and more intelligent. It mainly arises from higher opportunities to use information technology (IT) processes for these purposes. Designs cover many aspects, from physiological to including technical. The paper describes the problems faced by any designers while creating, evaluating them, and presenting the final results of their work in a visualisation form. Development of virtual reality (VR) technology and augmented reality, which is now taking place before our eyes, makes us inclined to think how to use this reality in lighting technology. The article presents some examples of applying VR technology in various types of smart lighting designs, for interiors and outdoor objects. The performed computer simulations are compared to reality. Some surveys, in terms of visualization rendering, were carried out. In the article, the current capabilities and main limitations of virtual reality of lighting are discussed, as well as what can be expected in the future. The luminance analysis of the virtual reality display is carried out, which shows that this equipment can be used in lighting technology after the appropriate calibration. Moreover, an innovative lighting design system based on virtual reality is presented.
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Cai S, He Y, Cui H, Zhou X, Zhou D, Wang F, Tian Y. Effectiveness of three-dimensional printed and virtual reality models in learning the morphology of craniovertebral junction deformities: a multicentre, randomised controlled study. BMJ Open 2020; 10:e036853. [PMID: 32973056 PMCID: PMC7517559 DOI: 10.1136/bmjopen-2020-036853] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES To compare the effectiveness of three-dimensional printed (3DP), virtual reality (VR) and conventional normal physical (NP) models in clinical education regarding the morphology of craniovertebral junction (CVJ) deformities. DESIGN Prospective, multicentre, randomised controlled study. SETTING Three teaching hospitals in China. PARTICIPANTS One hundred and fifty-three participants in their first year of a 3-year medical residency programme. INTERVENTIONS All participants were randomised to one of the three groups to learn the morphology of CVJ deformities using 3DP, VR or NP models. PRIMARY OUTCOME MEASURES The objective outcomes were evaluated using three-level objective testing. In the first-level test, the participants were required to identify 15 anatomical landmarks on radiographs without CVJ deformities. In the second-level test, all participants were asked to identify the same 15 landmarks on radiographs showing classic CVJ deformities. In the third-level test, the participants were required to describe the key features of three classic cases of CVJ deformities depicted on radiographs. Each participant was also asked to answer four subjective questions to evaluate the importance and usefulness of the educational materials. RESULTS In the first-level test, the 3DP, VR and NP groups achieved similar correct rates. In the second-level test, the correct rate was higher in the 3DP group (82.1%±13.6%) than the VR and NP groups (76.9%±16.9% and 69.9%±20.0%, p=0.002). In the third-level test, the 3DP group achieved better correct rates regarding the description of key CVJ deformities features (66.2%±20.0%, p=0.049) than the other groups. The subjective tests showed that the 3DP model method was considered the most valuable approach for learning CVJ deformities. CONCLUSIONS The objective and subjective results show that the 3DP model is more effective teaching instrument than the NP model for learning the pathomorphology of CVJ deformities. The VR model also showed great efficacy, second to 3DP model, in improving participants' understanding of CVJ deformities.
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Affiliation(s)
- Siyi Cai
- Orthopaedic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Yu He
- Surgery, Chinese Academy of Medical Sciences & Peking Union Medical College Plastic Surgery Hospital and Institute, Shijingshan District, Beijing, China
| | - Haomin Cui
- Orthopedic Surgery, Shanghai Jiaotong University Affiliated Sixth People Hospital South Campus, Shanghai, China
| | - Xi Zhou
- Orthopaedic Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Dongsheng Zhou
- Orthopaedic Surgery, Shandong Provincial Hospital, Jinan, Shandong, China
| | - Fu Wang
- Orthopaedic Surgery, Shandong Provincial Hospital, Jinan, Shandong, China
| | - Ye Tian
- Orthopaedic Surgery, Peking Union Medical College Hospital, Beijing, China
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The Utility of Virtual Patient Simulations for Clinical Reasoning Education. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155325. [PMID: 32722097 PMCID: PMC7432110 DOI: 10.3390/ijerph17155325] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 07/13/2020] [Accepted: 07/23/2020] [Indexed: 12/24/2022]
Abstract
Virtual Patient Simulations (VPSs) have been cited as a novel learning strategy, but there is little evidence that VPSs yield improvements in clinical reasoning skills and medical knowledge. This study aimed to clarify the effectiveness of VPSs for improving clinical reasoning skills among medical students, and to compare improvements in knowledge or clinical reasoning skills relevant to specific clinical scenarios. We enrolled 210 fourth-year medical students in March 2017 and March 2018 to participate in a real-time pre-post experimental design conducted in a large lecture hall by using a clicker. A VPS program (®Body Interact, Portugal) was implemented for one two-hour class session using the same methodology during both years. A pre–post 20-item multiple-choice questionnaire (10 knowledge and 10 clinical reasoning items) was used to evaluate learning outcomes. A total of 169 students completed the program. Participants showed significant increases in average total post-test scores, both on knowledge items (pre-test: median = 5, mean = 4.78, 95% CI (4.55–5.01); post-test: median = 5, mean = 5.12, 95% CI (4.90–5.43); p-value = 0.003) and clinical reasoning items (pre-test: median = 5, mean = 5.3 95%, CI (4.98–5.58); post-test: median = 8, mean = 7.81, 95% CI (7.57–8.05); p-value < 0.001). Thus, VPS programs could help medical students improve their clinical decision-making skills without lecturer supervision.
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A comparative case study of 2D, 3D and immersive-virtual-reality applications for healthcare education. Int J Med Inform 2020; 141:104226. [PMID: 32659739 DOI: 10.1016/j.ijmedinf.2020.104226] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/25/2020] [Accepted: 06/16/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVE The workings of medical educational tools are implemented using a myriad of approaches ranging from presenting static content to immersing students in gamified virtual-reality environments. The objective of this paper is to explore whether and how different approaches for designing medical educational tools affect students' learning performance. MATERIALS AND METHODS Four versions of an educational tool for the study of clinical cases were implemented: a 2D version, a gamified 2D version, a gamified 3D version, and a gamified immersive-virtual-reality version. All complying with the same functional requirements. Each version was used and evaluated by an independent group of students. The participants (n = 78) evaluated the applications regarding usefulness, usability, and gamification. Afterward, the students took an exam to assess the retention of information on the clinical cases presented. RESULTS One-sample Wilcoxon signed-rank tests confirmed that the participants perceived that it was at least quite likely that gamification helped improved their learning. In addition, based on the participants' perception, the gamification of the immersive-virtual-reality version helped the most to improve their learning performance in comparison with the gamified 2D and 3D versions. CONCLUSIONS Regardless of whether different versions of a medical educational tool (complying with the same functional requirements) are perceived as equally useful and usable, the design approach (either 2D, 3D, or immersive-virtual-reality with or without gamification) affects students' retention of information on clinical cases.
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Chen SY, Lai YH, Lin YS. Research on Head-Mounted Virtual Reality and Computational Thinking Experiments to Improve the Learning Effect of AIoT Maker Course: Case of Earthquake Relief Scenes. Front Psychol 2020; 11:1164. [PMID: 32581963 PMCID: PMC7283519 DOI: 10.3389/fpsyg.2020.01164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 05/05/2020] [Indexed: 11/13/2022] Open
Abstract
In this study, the head-mounted virtual reality (VR) technology is adpoted for computational thinking teaching in the AIoT Maker course teaching. The earthquake relief situation is designed in the VR in the course scenario, because in the context of situational thinking, pre-emptive training in the face of emergency disasters has been conducted through observation meetings or training courses. Through listening to lecturers or experienced personnel to share experiences, students often have a harder time thinking about real scenes and it is harder to think creatively how to design with the emergency disaster response. In view of this, this research will combine the development and evaluation of earthquake relief training courses for head-mounted VR and computational thinking experiments to explore the use of VR and computational thinking experiments to drive students to create ideas for real disaster relief scenarios. Through computational thinking, students think about different script situations and discuss in each scene to find a suitable maker design of the AIoT project. Finally, this study combined with its modular space program training to develop students' programming skills. According to the experiment, this study is able to strength students' practical learning motivation, and follow-up employ ability training for course learning.
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Affiliation(s)
- Shih-Yeh Chen
- Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan
| | - Ying-Hsun Lai
- Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan
| | - Yu-Shan Lin
- Department of Information Science and Management System, National Taitung University, Taitung, Taiwan
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