3D AI-driven system to map heart flutter circuits for safer ablation
Official title: Elucidating 3D Constructs of Reentrant Circuits via a Novel Noninvasive Hybrid-AI System
Funded at Rochester Institute of Technology · NIH-11420541 · Data updated 2026-11-12
A new AI-assisted, 3D model helps doctors locate the hidden heart circuit that causes dangerous ventricular tachycardia to guide safer, more effective ablation.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rochester Institute of Technology NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | February 8, 2019 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $625,795 |
| NIH project number | 5R01HL145590-07 |
| Project ID | NIH-11420541 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are adults with scar-related ventricular tachycardia considered for catheter ablation.
✕Less likely to help
Patients without VT or without scar-related arrhythmia may not benefit from this specific approach.
What this research studies
This project develops a hybrid neural-physics AI system to model and identify the 3D reentrant circuit responsible for scar-related ventricular tachycardia, going beyond current 2D approaches. By analyzing ECG signals and heart physiology, the system aims to reveal the intramural depth and pathways of these circuits. The goal is to improve noninvasive guidance for ablation targets and reduce missed sites that can lead to persistent VT. The work combines advanced AI techniques with established cardiac physiology to create more accurate 3D maps of arrhythmia circuits.
Why it matters
Potential benefit: If successful, patients could benefit from more precise ablation planning, potentially reducing recurrence of VT and improving survival.
How similar studies have gone: Preliminary data suggest feasibility of extracting depth-related signatures from ECGs, with prior work indicating promise for noninvasive circuit localization.
Where this research is happening
-
Rochester Institute of Technology
Rochester, United States Active
Researchers
- Principal investigator: Wang, Linwei — Rochester Institute of Technology
- Study coordinator: Wang, Linwei
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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.