AI Unlocks Early Heart Disease Detection from Routine ECGs

Simos Kedikoglou, MD, President & Chief Operating Officer of Anumana, explains how AI-powered analysis of routine 12 lead ECGs can dramatically accelerate the detection of serious cardiovascular conditions such as heart failure, pulmonary hypertension, and amyloidosis. By identifying subtle signs years before traditional diagnosis—often delayed due to vague symptoms and reliance on complex testing—this technology enables earlier intervention, improves patient outcomes, and reduces healthcare costs. Kedikoglou highlights how scalable, point of care AI can bring advanced diagnostics to primary care and underserved settings, making early detection both accessible and practical.