Intelligent Perfusion Digital Twin to Improve Cardiac Surgery Safety
Official title: Intelligent Perfusion Digital Twin to Improve Patient Safety and Quality in Cardiac Surgery
Funded at Brigham and Women's Hospital · NIH-11382365 · Data updated 2026-11-12
A new AI-powered digital twin will help perfusionists managing heart-lung bypass during cardiac surgery to keep patients safer and reduce avoidable complications.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2022 |
| Project end | April 30, 2030 |
| Funding year | 2026 |
| Award (this year) | $875,418 |
| NIH project number | 2R01HL157457-04 |
| Project ID | NIH-11382365 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults undergoing cardiac surgery requiring cardiopulmonary bypass at participating hospitals.
✕Less likely to help
Patients not undergoing CPB or at institutions not using the IDT system during the procedure may not benefit.
What this research studies
This project creates an intelligent digital twin that mirrors the patient, perfusionist, and bypass system to inform real-time decisions during heart surgery. It will use data from electronic health records, surgical data, audio-video inputs, and physiological monitoring to guide perfusion strategies with clear explanations. The goal is to reduce cognitive load on perfusionists and improve outcomes by testing AI-guided approaches in a controlled clinical setting. It builds on prior work showing how AI can model expert decision-making in CPB and applies it to real-time support and training through simulation.
Why it matters
Potential benefit: If successful, patients could experience safer CPB management, fewer adverse events, and more consistent perfusion practices.
How similar studies have gone: Previous work demonstrated feasibility of AI-guided perfusion decisions and cognitive-biomarker-informed models, with ongoing validation.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Dias, Roger Daglius — Brigham and Women's Hospital
- Study coordinator: Dias, Roger Daglius
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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.