Improving surgical training for benign urological procedures using AI feedback
Official title: Assessing, Optimizing, and Delivering Surgical Feedback with AI for Benign Urological Robotic Surgeries
Funded at Cedars-Sinai Medical Center · NIH-11028231 · Data updated 2026-11-12
This study is all about helping new surgeons get better at performing robotic surgeries for non-cancerous urological issues by using smart technology to give them helpful feedback during their training, making the whole process faster and safer for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cedars-Sinai Medical Center NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | December 1, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $596,179 |
| NIH project number | 1R01CA298988-01 |
| Project ID | NIH-11028231 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing benign urological robotic surgeries.
✕Less likely to help
Patients who are not undergoing benign urological surgeries or those who are not involved in surgical training may not benefit from this research.
What this research studies
This research focuses on enhancing the training of surgeons performing benign urological robotic surgeries by providing consistent and effective feedback. It aims to assess the current feedback exchange during surgical training and develop methods to optimize this process using artificial intelligence. By analyzing 500 training cases across multiple medical centers, the study will categorize feedback and create AI tools to deliver real-time, video-based feedback to novice surgeons. This approach seeks to shorten the learning curve and improve surgical outcomes for patients.
Why it matters
Potential benefit: If successful, this research could lead to better-trained surgeons, resulting in improved patient outcomes and reduced complications during benign urological surgeries.
How similar studies have gone: Previous research has shown that structured feedback and AI-assisted training can significantly enhance surgical skills, indicating a promising approach in this area.
Where this research is happening
-
Cedars-Sinai Medical Center
Los Angeles, United States Active
Researchers
- Principal investigator: Hung, Andrew — Cedars-Sinai Medical Center
- Study coordinator: Hung, Andrew
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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.