Professor Friedman is ABIM board-certified in cardiovascular medicine and cardiac electrophysiology. He is a trained electrical engineer, with deep experience in innovation (> 40 patents issued, named Minnesota Top Inventor), and scientific research (> 250 scientific original publications). He is a committed educator, serving as a director for 5 national and international meetings, editor of 7 textbooks, and author of over 60 book chapters. He is a frequent visiting professor and lecturer at educational meetings.

Professor Friedman has a deep interest in analysis and processing of physiologic signals, remote monitoring, and use of technology including wearable and implantable devices to detect and treat physiologic abnormalities. He leads a team that has been developing artificial intelligence tools to detect and treat cardiovascular disease

In this interview, Professor Friedman talks frankly and pragmatically about the best use of AI in clinical practice. He describes where AI will deliver benefits in primary care and for cardiology specialists in the short and medium term. He is clear too about how to overcome AI scepticism, accelerate AI adoption in early identification of cardiac disease and to target therapeutic interventions for better patient outcomes and healthcare resource utilisation.