UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
Key Details
- 1University of Virginia received a $4 million NIH grant for cardiac imaging AI research.
- 2The AI, GenStrain, will extract DENSE-quality strain measurements from standard cine MRI scans.
- 3Currently, DENSE MRI is the gold standard but is not widely available clinically.
- 4The technology aims to help select optimal pacing therapies for heart failure patients.
- 5Collaboration spans UVA, VCU, Baylor, and Utah, with a focus on generalizability across centers.
- 6Clinical trials may be pursued following multicenter model validation.
Why It Matters
This project could democratize access to advanced cardiac diagnostics, improving patient outcomes by extracting critical strain data from routine MRI scans. Success could set a new standard for integrating AI with radiology in personalized cardiac care.
Source
EurekAlert
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