A conversation with Mayo Clinic experts in AI for cardiology March 12, 2026 Overview Show transcript Overview Mayo Clinic experts in AI, Francisco Lopez-Jimenez, M.D., M.S., and Zachi Attia, Ph.D., M.B.A., share how artificial intelligence (AI) is reshaping cardiovascular care by unlocking new insights from the electrocardiogram (ECG). Over the past decade, Mayo Clinic researchers have reimagined the ECG as a rich physiological signal rather than a limited diagnostic checklist. By applying AI models to routine ECGs, clinicians can now identify patients at risk of conditions such as heart failure, atrial fibrillation and cardiomyopathy — often before symptoms appear. The conversation highlights how AI-enabled ECG tools support earlier diagnosis, guide more-appropriate use of electrocardiography and help clinicians make more-consistent, informed decisions without replacing clinical judgment. Share Doximity Facebook LinkedIn Twitter Print details Receive Mayo Clinic news in your inbox. Sign up Related ContentArticleArtificial intelligence-enabled ECG screening for asymptomatic left ventricular dysfunctionArticleClinician adoption of an artificial intelligence algorithm to detect Left ventricular systolic dysfunction in primary careVideoRecognizing Left Bundle Branch Block and When It Matters VID-20598659 Medical Professionals A conversation with Mayo Clinic experts in AI for cardiology