Echocardiography AI Performs 39 Diagnostics Tasks For Analysis in Minutes

Researchers at Yale School of Medicine have developed PanEcho, an AI-powered tool that interprets echocardiograms with remarkable speed and accuracy. Traditionally, analyzing these heart ultrasounds requires expert review of over 100 images and videos per patient. PanEcho automates this process, performing 39 diagnostic tasks—including detecting severe aortic stenosis and measuring ejection fraction—in just minutes.

Trained on nearly one million echocardiographic videos and validated across multiple institutions, PanEcho demonstrated a median diagnostic accuracy of 91% across 18 clinical tasks. It also performed well on lower-quality, point-of-care ultrasound images, making it especially promising for use in emergency departments and low-resource settings.

While not yet approved for clinical deployment, PanEcho could soon serve as a second reader in echo labs or a frontline tool in underserved areas. Its open-source release invites further refinement and testing, signaling a shift toward AI-augmented cardiovascular diagnostics that are faster, scalable, and globally accessible.