Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study-Reference-Cited by-同舟云学术

Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study

Published:2024-01-29 Issue: Volume: Page:
ISSN:0892-7790
Container-title:Journal of Endourology
language:en
Short-container-title:Journal of Endourology

Author:

Ma Runzhuo¹,Kiyasseh Dani²,Laca Jasper A.¹,Kocielnik Rafal²,Wong Elyssa Y.¹,Chu Timothy N.¹,Cen Steven³,Yang Cherine H.¹,Dalieh Istabraq S.¹,Haque Taseen F.¹,Goldenberg Mitch G.¹,Huang Xiuzhen¹⁴,Anandkumar Anima²,Hung Andrew J.¹

Affiliation:

1. Catherine & Joseph Aresty Department of Urology, Center for Robotic Simulation and Education, USC Institute of Urology, University of Southern California, Los Angeles, California, USA.

2. Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, California, USA.

3. Radiology Department, University of Southern California, Los Angeles, California, USA.

4. Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Publisher

Mary Ann Liebert Inc

Subject

Urology

Link

https://www.liebertpub.com/doi/pdf/10.1089/end.2023.0328

Reference14 articles.

1. The Impact of the 80-Hour Resident Workweek on Surgical Residents and Attending Surgeons

2. Actual vs perceived performance debriefing in surgery: practice far from perfect

3. Readiness of US General Surgery Residents for Independent Practice

4. Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance

5. A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos

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