Using AI to help surgeons improve their skills in kidney stone surgery
Official title: An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy
Funded at Brigham and Women's Hospital · NIH-11072317 · Data updated 2026-11-12
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 type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | May 1, 2025 |
| Project end | February 28, 2029 |
| Funding year | 2025 |
| Award (this year) | $709,358 |
| NIH project number | 1R01EB036877-01 |
| Project ID | NIH-11072317 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults suffering from nephrolithiasis who are scheduled for urologic endoscopy procedures.
✕Less likely to help
Patients who are not undergoing urologic endoscopy or those with conditions unrelated to kidney stones may not benefit from this research.
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.
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 gone: 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
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Dias, Roger Daglius — Brigham and Women's Hospital
- Study coordinator: Dias, Roger Daglius
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.