Predicting Surgical Experience After Robotic Nerve-sparing Radical Prostatectomy Simulation Using a Machine Learning–based Multimodal Analysis of Objective Performance Metrics

Author:

Schuler Nathan1ORCID,Shepard Lauren1ORCID,Saxton Aaron2,Russo Jillian3,Johnston Daniel4,Saba Patrick5ORCID,Holler Tyler2,Smith Andrea6,Kulason Sue6,Yee Andrew6,Ghazi Ahmed7ORCID

Affiliation:

1. Simulation Innovation Lab, Carnegie Center for Surgical Innovation, Johns Hopkins University, Baltimore, Maryland

2. Department of Urology, University of Rochester Medical Center, Rochester, New York

3. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio

4. University of Rochester School of Medicine and Dentistry, Rochester, New York

5. SUNY Upstate Medical University Norton College of Medicine, Syracuse, New York

6. Data and Analytics, Intuitive Surgical, Inc, Peachtree Corners, Georgia

7. Brady Urological Institute, Johns Hopkins University, Baltimore, Maryland

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

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