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Yamamoto S, Taniguchi Y, Kuroki Y, Nagahama H, Tanaka S, Kadonosono K, Arai F, Enaida H. INVESTIGATION OF HAND TREMOR SUPPRESSION BY A CUSTOMIZED PASSIVE SURGICAL SUPPORT ROBOT DURING INTERNAL LIMITING MEMBRANE PEELING. Retina 2024; 44:2091-2097. [PMID: 40009575 DOI: 10.1097/iae.0000000000004226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2024]
Abstract
PURPOSE To construct a quantitative evaluation system for hand tremor during internal limiting membrane (ILM) peeling and investigate changes in hand tremor attributable to the use of the customized passive surgical support robot. METHODS This analytical and experimental study developed a hand tremor evaluation system that synchronizes three elements: surgical microscope images, an artificial eye module with a force sensor to simulate ILM peeling, and microforceps with an inertial measurement unit. Two surgeons used this system to measure hand tremor during ILM peeling with and without the robot. RESULTS The horizontal, vertical, and combined vertical and horizontal components of hand tremor were 8.1 ± 6.1, 1.7 ± 1.8, and 8.5 ± 6.2 mG, respectively, in the no-robot group. These components decreased to 7.2 ± 6.0, 1.5 ± 1.7, and 7.5 ± 6.1 mG, respectively, in the robot group. In particular, hand tremor was significantly suppressed by 11.9% for the horizontal component using the robot ( P = 0.0006). CONCLUSION The newly constructed system helps to quantitatively evaluate hand tremor during ILM peeling. The customized passive surgical support robot enables to decrease hand tremor during ILM peeling.
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Affiliation(s)
- Soichiro Yamamoto
- Department of Ophthalmology, Saga University Faculty of Medicine, Saga, Japan
| | - Yuta Taniguchi
- Department of Mechanical Engineering, University of Tokyo, Bunkyo, Japan; and
| | - Yohei Kuroki
- Department of Ophthalmology, Saga University Faculty of Medicine, Saga, Japan
| | - Hidenori Nagahama
- Department of Ophthalmology, Saga University Faculty of Medicine, Saga, Japan
| | - Shin Tanaka
- Department of Ophthalmology and Micro-Technology, Yokohama City University, Yokohama, Japan
| | - Kazuaki Kadonosono
- Department of Ophthalmology and Micro-Technology, Yokohama City University, Yokohama, Japan
| | - Fumihito Arai
- Department of Mechanical Engineering, University of Tokyo, Bunkyo, Japan; and
| | - Hiroshi Enaida
- Department of Ophthalmology, Saga University Faculty of Medicine, Saga, Japan
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Guo M, Gong D, Yang W. In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade. Front Med (Lausanne) 2024; 11:1489139. [PMID: 39635592 PMCID: PMC11614663 DOI: 10.3389/fmed.2024.1489139] [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: 09/05/2024] [Accepted: 11/06/2024] [Indexed: 12/07/2024] Open
Abstract
Background The application of Artificial Intelligence (AI) in diagnosing retinal diseases represents a significant advancement in ophthalmological research, with the potential to reshape future practices in the field. This study explores the extensive applications and emerging research frontiers of AI in retinal diseases. Objective This study aims to uncover the developments and predict future directions of AI research in retinal disease over the past decade. Methods This study analyzes AI utilization in retinal disease research through articles, using citation data sourced from the Web of Science (WOS) Core Collection database, covering the period from January 1, 2014, to December 31, 2023. A combination of WOS analyzer, CiteSpace 6.2 R4, and VOSviewer 1.6.19 was used for a bibliometric analysis focusing on citation frequency, collaborations, and keyword trends from an expert perspective. Results A total of 2,861 articles across 93 countries or regions were cataloged, with notable growth in article numbers since 2017. China leads with 926 articles, constituting 32% of the total. The United States has the highest h-index at 66, while England has the most significant network centrality at 0.24. Notably, the University of London is the leading institution with 99 articles and shares the highest h-index (25) with University College London. The National University of Singapore stands out for its central role with a score of 0.16. Research primarily spans ophthalmology and computer science, with "network," "transfer learning," and "convolutional neural networks" being prominent burst keywords from 2021 to 2023. Conclusion China leads globally in article counts, while the United States has a significant research impact. The University of London and University College London have made significant contributions to the literature. Diabetic retinopathy is the retinal disease with the highest volume of research. AI applications have focused on developing algorithms for diagnosing retinal diseases and investigating abnormal physiological features of the eye. Future research should pivot toward more advanced diagnostic systems for ophthalmic diseases.
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Affiliation(s)
- Mingkai Guo
- The Third School of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Di Gong
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
| | - Weihua Yang
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
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Wang T, Li H, Pu T, Yang L. Microsurgery Robots: Applications, Design, and Development. SENSORS (BASEL, SWITZERLAND) 2023; 23:8503. [PMID: 37896597 PMCID: PMC10611418 DOI: 10.3390/s23208503] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023]
Abstract
Microsurgical techniques have been widely utilized in various surgical specialties, such as ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise surgical tool manipulation on a small scale. In microsurgery, operations on delicate vessels or tissues require high standards in surgeons' skills. This exceptionally high requirement in skills leads to a steep learning curve and lengthy training before the surgeons can perform microsurgical procedures with quality outcomes. The microsurgery robot (MSR), which can improve surgeons' operation skills through various functions, has received extensive research attention in the past three decades. There have been many review papers summarizing the research on MSR for specific surgical specialties. However, an in-depth review of the relevant technologies used in MSR systems is limited in the literature. This review details the technical challenges in microsurgery, and systematically summarizes the key technologies in MSR with a developmental perspective from the basic structural mechanism design, to the perception and human-machine interaction methods, and further to the ability in achieving a certain level of autonomy. By presenting and comparing the methods and technologies in this cutting-edge research, this paper aims to provide readers with a comprehensive understanding of the current state of MSR research and identify potential directions for future development in MSR.
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Affiliation(s)
- Tiexin Wang
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
- School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
| | - Haoyu Li
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
| | - Tanhong Pu
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
| | - Liangjing Yang
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
- School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
- Department of Mechanical Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
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Li Z, Yi X, Zhu R, Yu Z, Yuan X, PourhosseiniAsl M, Dong S. A Symmetric-Actuating Linear Piezoceramic Ultrasonic Motor Capable of Producing a Scissoring Effect. RESEARCH (WASHINGTON, D.C.) 2023; 6:0156. [PMID: 37287892 PMCID: PMC10243895 DOI: 10.34133/research.0156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 05/05/2023] [Indexed: 06/09/2023]
Abstract
Conventionally, to produce a linear motion, one motor's stator is employed to drive one runner moving forward or backward. So far, there is almost no report of one electromechanical motor or piezoelectric ultrasonic motor that can directly generate two symmetrical linear motions, while this function is desired for precise scissoring and grasping in the minimally invasive surgery field. Herein, we report a brand-new symmetric-actuating linear piezoceramic ultrasonic motor capable of generating symmetrical linear motions of two outputs directly without additional mechanical transmission mechanisms. The key component of the motor is an (2 × 3) arrayed piezoceramic bar stator operating in the coupled resonant mode of the first longitudinal (L1) and third bending (B3) modes, leading to symmetric elliptical vibration trajectories at its two ends. A pair of microsurgical scissors is used as the end-effector, demonstrating a very promising future for high-precision microsurgical operations. The sliders of the prototype show the following features: (a) symmetrical, fast relative moving velocity (~1 m/s) outward or inward simultaneously; (b) high step resolution (40 nm); and (c) high power density (405.4 mW/cm3) and high efficiency (22.1%) that are double those of typical piezoceramic ultrasonic motors, indicating the full capacity of symmetric-actuating linear piezoceramic ultrasonic motor working in symmetric operation principle. This work also has enlightening significance for future symmetric-actuating device designs.
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Affiliation(s)
- Zhanmiao Li
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
| | - Xingyu Yi
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
| | - Rongqi Zhu
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
| | - Zhonghui Yu
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
| | - Xiaoting Yuan
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
| | | | - Shuxiang Dong
- School of Materials Science and Engineering,
Peking University, Beijing 100871, China
- College of Mechatronics and Control Engineering, and Institute for Advanced Study,
Shenzhen University, Shenzhen 518051, China
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Lee JS, Lee J, Kim YH, Park HY, Yang JD. Porcine training models for endoscopic and robotic reconstructive breast surgery: a preliminary study. Gland Surg 2021; 10:2346-2353. [PMID: 34527546 DOI: 10.21037/gs-21-398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 07/23/2021] [Indexed: 11/06/2022]
Abstract
Background With recent advances in surgical techniques, minimally invasive methods for reconstructive breast surgery are being investigated. To enhance surgical proficiency through training and minimize predictable complications before human application, we conducted a preliminary experimental study of reconstructive breast surgery using a porcine model. Methods Between February and March 2019, four 3-month-old pigs underwent a bilateral mastectomy and immediate breast reconstruction with a latissimus dorsi (LD) flap or silicone implants. After performing the mastectomy by dissecting the pectoralis profundus in the subcutaneous plane, the pig was placed in the decubitus position, and ultrasound-guided marking was used to design the LD flap. The thoracodorsal artery was marked, and a 4-cm incision was made on the midaxillary line. An additional endoscopic incision was made in the inferior margin of the LD flap; a 2-hole approach was used for endoscopic LD flap elevation. In the silicone implant model, a silicone implant (Allergan, smooth, round type, 90 cc) was placed using a single incision (4-5 cm). Results Eight mastectomies followed by breast reconstruction with LD flap elevation or silicone implant models were performed on four pigs. Serious complications, such as active bleeding, did not occur. However, heat dispersion to the skin flap that became thinner by endoscopic dissection caused a second-degree burn in one pig. Conclusions This preliminary study of endoscopic or robot-assisted minimally invasive reconstructive breast surgery demonstrates that a porcine training model is a highly valuable experimental model for surface anatomy verification, incision plan selection, instrument selection, operator proficiency enhancement, and complication prevention.
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Affiliation(s)
- Joon Seok Lee
- Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jeeyeon Lee
- Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Yun Hyun Kim
- Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Ho Yong Park
- Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jung Dug Yang
- Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
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Jinno M, Iordachita I. Improved Integrated Robotic Intraocular Snake: Analyses of the Kinematics and Drive Mechanism of the Dexterous Distal Unit. JOURNAL OF MEDICAL ROBOTICS RESEARCH 2021; 6:2140001. [PMID: 34722945 PMCID: PMC8553217 DOI: 10.1142/s2424905x21400018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Retinal surgery can be performed only by surgeons possessing advanced surgical skills because of the small, confined intraocular space, and the restricted free motion of the instruments in contact with the sclera. Snake-like robots may be essential for use in retinal surgery to overcome this problem. Such robots can approach the target site from suitable directions and operate on delicate tissues during retinal vein cannulation, epiretinal membrane peeling, and so on. We propose an improved integrated robotic intraocular snake (I2RIS), which is a new version of our previous IRIS. This study focused on the analyses of the kinematics and drive mechanism of the dexterous distal unit. This unit consists of small elements with reduced contact stress achieved by changing wire-hole positions. The kinematic analysis of the dexterous distal unit shows that it is possible to control the bending angle and direction of the unit by using two pairs of drive wires. The proposed drive mechanism includes a new pull-and-release wire mechanism in which the drive pulley is mounted at a right angle relative to the actuation direction (also, relative to the conventional direction). Analysis of the drive mechanism shows that compared to the previous drive mechanism, the proposed mechanism is simpler and easier to assemble and yields higher accuracy and resolution. Furthermore, considering clinical use, the instrument of the I2RIS is detachable from the motor unit easily for cleaning, sterilization, and attachment of various surgical tools. Analyses of the kinematics and drive mechanism and the basic functions of the proposed mechanism were verified experimentally on actual-size prototypes of the instrument and motor units.
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Affiliation(s)
- Makoto Jinno
- School of Science and Engineering, Kokushikan University, Tokyo 154-8515, Japan
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA
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