Using AI to improve heart imaging for better surgery and heart failure predictions.
Official title: Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.
Funded at Stanford University · NIH-11002641 · Data updated 2026-11-12
This study is testing a new AI tool that looks at heart ultrasound videos to help doctors better predict how patients will do after heart surgery or with heart failure, making it easier for patients to get the best care possible.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | January 1, 2022 |
| Project end | December 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $523,474 |
| NIH project number | 5R01HL157235-04 |
| Project ID | NIH-11002641 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients undergoing echocardiography for heart failure assessment or cardiovascular surgery.
✕Less likely to help
Patients with non-cardiovascular conditions or those not requiring echocardiography may not benefit from this research.
What this research studies
This research focuses on developing an advanced artificial intelligence platform that analyzes echocardiography videos to predict outcomes for cardiovascular surgery and heart failure. By employing a radiomics approach, the project aims to extract and utilize the vast amount of data contained in these videos, which are often underused in current practices. The AI system will be trained to recognize complex patterns in heart function, potentially leading to more accurate assessments and improved patient care. Patients undergoing echocardiography may benefit from this innovative technology that enhances diagnostic capabilities.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of heart surgery outcomes and better management of heart failure.
How similar studies have gone: Other research has shown promise in using AI for medical imaging, indicating that this approach could yield significant advancements in cardiac care.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Hiesinger, William — Stanford University
- Study coordinator: Hiesinger, William
Related research
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-
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-
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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.