Using AI to help surgeons improve their skills in kidney stone surgery

An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy

NIH-funded research Brigham and Women's Hospital · NIH-11072317

This study is testing a smart AI tool that helps surgeons perform better during kidney stone surgeries by giving them real-time tips while they work, making the procedures safer and more effective for patients like you.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11072317 on NIH RePORTER

What this research studies

This research focuses on developing an Artificial Intelligence (AI) Surgical Coach to enhance the performance of surgeons during urologic endoscopy procedures for kidney stones. By analyzing surgical videos and using machine learning algorithms, the project aims to create a system that provides real-time feedback to surgeons, helping them improve their skills and patient outcomes. The research will involve capturing intraoperative performance data, conducting simulations, and evaluating the AI system's effectiveness through a randomized controlled trial. This innovative approach seeks to standardize surgical quality and reduce complications associated with kidney stone surgeries.

Who could benefit from this research

Good fit: Ideal candidates for this research are adults suffering from nephrolithiasis who are scheduled for urologic endoscopy procedures.

Not a fit: Patients who are not undergoing urologic endoscopy or those with conditions unrelated to kidney stones may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved surgical outcomes and reduced complications for patients undergoing kidney stone procedures.

How similar studies have performed: Other research has shown promise in using AI to enhance surgical training and performance, indicating that this approach could be effective.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.