Improving Surgical Safety with Smart Technology
Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)
This project is building a smart computer system to help doctors predict and prevent complications for patients undergoing surgery.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-11123160 on NIH RePORTER |
What this research studies
Many Americans have surgery, and unfortunately, some experience complications or even death. This project aims to create a new, advanced artificial intelligence (AI) system that is easy to understand, fair, and reliable for predicting surgical risks in real-time. We are using a large network of hospitals in Florida to test and refine this system. The goal is to provide doctors with better tools to make informed decisions and improve patient safety before, during, and after operations.
Who could benefit from this research
Good fit: Patients who are considering or undergoing surgical procedures, especially those in Florida, may benefit from the improved risk assessment tools developed by this project.
Not a fit: Patients who do not undergo surgery or are not treated at institutions adopting this specific AI platform may not directly benefit from this particular effort.
Why it matters
Potential benefit: If successful, this technology could significantly reduce surgical complications and deaths by giving doctors better insights into patient risks.
How similar studies have performed: Previous work by this team successfully implemented a real-time intelligent surgical risk assessment system at the University of Florida, leading to numerous publications and patents.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Bihorac, Azra — University of Florida
- Study coordinator: Bihorac, Azra
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.