Simulation-based planning to improve atrial fibrillation ablation
Official title: SCH: Simulation Optimization of Cardiac Surgical Planning
Funded at University of Tennessee Knoxville · NIH-11401159 · Data updated 2026-11-12
A precision cardiology project uses advanced simulations and AI to help tailor AF ablation procedures and improve outcomes for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Tennessee Knoxville NIH-funded |
| Lab location | 1 site (Knoxville, United States) |
| Project start | September 7, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $292,644 |
| NIH project number | 5R01HL172292-04 |
| Project ID | NIH-11401159 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with atrial fibrillation undergoing catheter ablation who are candidates for precision planning aided by sensor data and AI.
✕Less likely to help
Patients not undergoing ablation or those with AF types not suited to this planning approach may not benefit.
What this research studies
This project aims to combine sensor data from AF patients with physics-informed AI to optimize catheter ablation planning. By integrating real-world electrophysiology signals into a learning model, clinicians could predict the best ablation strategy for individual patients. The work focuses on creating robust, uncertainty-aware decision support to guide surgical planning in AF treatment. Patients who qualify may benefit from more personalized and potentially safer procedures. The research is conducted at the University of Tennessee, Knoxville, led by Bing Yao.
Why it matters
Potential benefit: If successful, patients could receive more precise and effective AF ablation plans, potentially reducing procedure variations and improving outcomes.
How similar studies have gone: Previous work shows promise in AI-assisted planning for complex cardiac procedures, with ongoing development to improve reliability in clinical settings.
Where this research is happening
-
University of Tennessee Knoxville
Knoxville, United States Active
Researchers
- Principal investigator: Yao, Bing — University of Tennessee Knoxville
- Study coordinator: Yao, Bing
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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.