NIH R01 · 2025
An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy
PROJECT SUMMARY-ABSTRACT Nephrolithiasis, or kidney stone disease, affects over 10% of the U.S. adult population, leading to significant healthcare burdens. As the primary treatment, urologic endoscopy via ureteroscopy (URS) varies considerably in outcomes and complication rates among surgeons, revealing a critical opportunity for surgical care quality measurement and improvement. This project proposes the development and validation of an Artificial Intelligence (AI) Surgical Coach system designed to enhance surgical performance and patient outcomes during URS procedures. Utilizing machine learning (ML) algorithms to analyze video data and neuroergonomic metrics from the operating room…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.