Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, according to a study led by investigators at Weill Cornell Medicine, Cornell Tech, Cornell Ann S. Bowers College of Computing and Information Science, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian. The findings offer the prospect of better care for many thousands of patients who may be overlooked due to the difficulty of diagnosing their condition.
News Release • March 20, 2026