Artificial Intelligence-Enhanced Electrocardiogram Diastolic Function Assessment for Prognostic Stratification in Mitral Regurgitation

In this podcast, Dr. Valentin Fuster discusses a groundbreaking study on using artificial intelligence (AI) in electrocardiograms (ECGs) to assess left ventricular diastolic function and predict outcomes in patients with significant mitral regurgitation. The study demonstrates that AI-driven ECGs can offer comparable prognostic value to traditional echocardiography, identifying high-risk patients and potentially revolutionizing cardiovascular diagnostics, though challenges around sensitivity, specificity, and patient selection remain.

Om Podcasten

Each week, Valentin Fuster, MD, PhD, MACC, records free podcasts highlighting journal findings. To keep clinicians updated on the most important science emerging in clinical and translational cardiology, Dr. Fuster provides an overview of the weekly edition from the Journal of the American College of Cardiology (JACC), as well as a short summary of each manuscript. Encompassing JACC and nine cardiovascular specialty journals, the JACC family of journals rank among the top cardiovascular peer-reviewed journals in the world for scientific impact.