AI Predicts Peak VO2 From Cardiac Ultrasound
Researchers from Weill Cornell, Cornell Tech, Columbia, and NewYork-Presbyterian published March 3 in npj Digital Medicine that a multimodal AI model predicts peak VO2 from routine cardiac ultrasound videos and electronic health records. Trained on 1,000 patients and validated on 127 across three campuses, the model achieved roughly 85% discrimination. The approach could expand screening for advanced heart failure and reduce reliance on specialized cardiopulmonary exercise testing, pending clinical trials.
Scoring Rationale
Peer-reviewed, multicampus results and clear clinical relevance, but limited external sample size and pending prospective clinical validation.
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