Mp34-11 distinguishing Surgical Expertise Using Machine Learning and Automated Performance Metrics During Sub-Stitches of Vesico-Urethral Anastomosis

Abstract

tomography images using the Synapse Vincent (Fuji Medical Systems, Tokyo, Japan) and HoloEyesXR (Holoeyes, Tokyo, Japan) software. Following completion of each training protocol, participants completed an anonymous questionnaire composed of 0-10 scale and openended questions assessing the utility of the training.RESULTS: 15 participants were enrolled in this study and they all completed the questionnaires. The median (range) age of the participants was 21 (21-23) years. The 3D organ model projection significantly improved assessment scores regarding the following 7 elements; anatomical acquisition, renal hilum inspection, self-efficacy to detect the kidney, self-efficacy to conduct renal US, ease of kidney detection, learning effect of the training, and recommendation to other students (p<0.05 for all). The most frequent answer to the open-ended question regarding why they thought MR technology was useful for US training was, "contribution to understanding the positional relationship between the abdominal organs." (13/15, 87%).CONCLUSIONS: Holographic 3D organ model projection from a wearable MR computer facilitates renal US training of medical students.