Using deep learning to improve robotic suturing skills in surgery
Automated Assessment for Robotic Suturing Utilizing Deep Learning Algorithms
This study is looking at ways to help surgeons improve their stitching skills during robot-assisted surgeries for prostate cancer by using virtual reality to practice and track their techniques, so they can provide better care for patients like you.
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 ID | NIH-11052513 on NIH RePORTER |
What this research studies
This research investigates how to enhance surgical performance by assessing suturing skills during robot-assisted surgeries, particularly for prostate cancer treatment. It employs virtual reality simulations to track and analyze the suturing techniques of surgeons, focusing on critical maneuvers and performance metrics. By utilizing advanced machine learning and deep learning algorithms, the study aims to develop an automated assessment system that can objectively evaluate surgical skills and correlate them with patient outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients scheduled for robot-assisted radical prostatectomy (RARP) due to prostate cancer.
Not a fit: Patients who are not undergoing surgery or those with conditions that do not require robotic surgical intervention may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved surgical techniques, reducing complications and enhancing recovery for patients undergoing prostate cancer surgery.
How similar studies have performed: Other research has shown promise in using machine learning and virtual reality for surgical training and assessment, indicating that this approach could be effective.
Where this research is happening
Los Angeles, United States
- Cedars-Sinai Medical Center — Los Angeles, United States (Active)
Researchers
- Principal investigator: Hung, Andrew — Cedars-Sinai Medical Center
- Study coordinator: Hung, Andrew
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 below.