Smart Glasses as a Surgical Pathology Grossing Tool

Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones

Mobile health (mHealth) with continuous real-time monitoring is leading the era of digital medical convergence. Wearable devices and smartphones optimized as personalized health management platforms enable disease prediction, prevention, diagnosis, and even treatment. Ubiquitous and accessible medical services offered through mHealth strengthen universal health coverage to facilitate service use without discrimination. This viewpoint investigates the latest trends in mHealth technology, which are comprehensive in terms of form factors and detection targets according to body attachment location and type. Insights and breakthroughs from the perspective of mHealth sensing through a new form factor and sensor-integrated display overcome the problems of existing mHealth by proposing a solution of smartphonization of wearable devices and the wearable deviceization of smartphones. This approach maximizes the infinite potential of stagnant mHealth technology and will present a new milestone leading to the popularization of mHealth. In the postpandemic era, innovative mHealth solutions through the smartphonization of wearable devices and the wearable deviceization of smartphones could become the standard for a new paradigm in the field of digital medicine.

Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site

Successful treatment of solid cancers relies on complete surgical excision of the tumor either for definitive treatment or before adjuvant therapy. Intraoperative and postoperative radial sectioning, the most common form of margin assessment, can lead to incomplete excision and increase the risk of recurrence and repeat procedures. Mohs Micrographic Surgery is associated with complete removal of basal cell and squamous cell carcinoma through real-time margin assessment of 100% of the peripheral and deep margins. Real-time assessment in many tumor types is constrained by tissue size, complexity, and specimen processing / assessment time during general anesthesia. We developed an artificial intelligence platform to reduce the tissue preprocessing and histological assessment time through automated grossing recommendations, mapping and orientation of tumor to the surgical specimen. Using basal cell carcinoma as a model system, results demonstrate that this approach can address surgical laboratory efficiency bottlenecks for rapid and complete intraoperative margin assessment.

The utility of a gross dissection anatomical model for simulation-based learning in pathology

INTRODUCTION

The examination of morphological alterations in tissues is fundamental in Pathology. Traditional training in gross dissection has several limitations, including the risk of transmissible diseases, formaldehyde exposure and limited specimen availability. We describe a teaching method using anatomical simulators.

METHODS

Liquid silicone-based artisan neoplastic anatomical models were used in conjunction with clinical scenarios. Eighty-five medical students participated in a gross dissection experience and were asked to complete a feedback questionnaire. Additionally, a workshop was organized for students to compare three different teaching methods. The first one used still images (Group1-G1), the second a video explanation (Group2-G2), and the third directly observed a pathologist while grossing (Group3-G3).

RESULTS

The knowledge acquisition questionnaire showed an average value of 4.4 out of 5 (1-5) (range 3.4-4.7, σ0.89). The categories 'knowledge of resection margins' and 'macroscopic diagnosis' received the highest values (4.8, σ0.11 and 4.7, σ0.32, respectively), followed by 'understanding of handling and gross examination of the surgical specimen' (4.5, σ0.49), 'prognosis' (4.3, σ0.67) and 'understanding of a tumor resection' (3.9, σ0.96) (p<0.05). Regarding teaching methods, G3 spent less time than G2 and G1 with mean times of 15'39″ (σ2'12″), 16'50″ (σ3'45″), and 17'52″ (σ2'12″), respectively (p<0.05). Gross dissection marks (0-5) showed statistically significant differences (p<0.05). G2 obtained better results (3.7;σ0.54) than G3 (3.4;σ0.94) or G1 (3.1;σ0.8).

CONCLUSIONS

This preliminary study demonstrates that it is possible to implement a gross dissection simulation module at medical school and thus enable the acquisition of skills in a secure environment.

Technology Behavior Model—Beyond Your Sight with Extended Reality in Surgery

Extended Reality Smart Glasses is a new pattern that uses extended reality technology to present a visual environment that combines the physical and virtual worlds. However, the surgical technique using Smart Glasses implementation is still unknown, to the infancy in clinical surgery, derived to the limits of existing technology. This study researched the acceptability and possibility of XRSG for medical experts. It combines human seen behavioral control with information technology research to construct a new “Extended Reality Technology Behavior Model” using method Technology Acceptance Model and Theory of Planned Behavior. To improve the accuracy of the study, statistical analysis, exploratory analysis, and cross-sectional research triangulation were used to collect data in five hospitals in Malaysia using a convenience sampling method and a questionnaire on behavioral influences. From the collected data, PLS-SEM analysis was used to reflect the relationship between variables. The strong positive results suggest that using XRSG by medical experts helps to improve the composition, interactivity, standardization, and clarity of medical images, resulting in increased efficiency and reduced procedure time and felt the usefulness and ease of use of XRSG through their behavior, providing a basis for technology acceptance in surgery.

Teleproctoring for Neurovascular Procedures: Demonstration of Concept Using Optical See-Through Head-Mounted Display, Interactive Mixed Reality, and Virtual Space Sharing-A Critical Need Highlighted by the COVID-19 Pandemic

BACKGROUND AND PURPOSE

Physician training and onsite proctoring are critical for safely introducing new biomedical devices, a process that has been disrupted by the pandemic. A teleproctoring concept using optical see-through head-mounted displays with a proctor's ability to see and, more important, virtually interact in the operator's visual field is presented.

MATERIALS AND METHODS

Test conditions were created for simulated proctoring using a bifurcation aneurysm flow model for WEB device deployment. The operator in the angiography suite wore a Magic Leap-1 optical see-through head-mounted display to livestream his or her FOV to a proctor's computer in an adjacent building. A Web-based application (Spatial) was used for the proctor to virtually interact in the operator's visual space. Tested elements included the quality of the livestream, communication, and the proctor's ability to interact in the operator's environment using mixed reality. A hotspot and a Wi-Fi-based network were tested.

RESULTS

The operator successfully livestreamed the angiography room environment and his FOV of the monitor to the remotely located proctor. The proctor communicated and guided the operator through the procedure over the optical see-through head-mounted displays, a process that was repeated several times. The proctor used mixed reality and virtual space sharing to successfully project images, annotations, and data in the operator's FOV for highlighting any device or procedural aspects. The livestream latency was 0.71 (SD, 0.03) seconds for Wi-Fi and 0.86 (SD, 0.3) seconds for the hotspot (P = .02). The livestream quality was subjectively better over the Wi-Fi.

CONCLUSIONS

New technologies using head-mounted displays and virtual space sharing could offer solutions applicable to remote proctoring in the neurointerventional space.

Smart glasses evaluation during the COVID-19 pandemic: First-use on Neurointerventional procedures

The COVID-19 pandemic is rapidly transforming the healthcare system, with telemedicine, or virtual health, being one of the key drivers of the change. Smart glasses have recently been introduced to the public and have generated interest with healthcare professionals as demonstrated by their early adoption in clinics and hospitals. Observing procedures is essential for young interventionalist-in-training, but sometimes it is difficult for them to be able to get the volume of exposure to procedures that they need. Here, we report the first experience using smart glasses for Neurointerventional procedures, highlighting potential benefits and limitations during different scenarios including invitro and life cases. This field is novel, innovative, and may have potential to improve both patient care and patient safety in other health care settings.