AI in Radiology: How SimonMed Is Revolutionizing Imaging

Dr. Sean Raj, MD, MBA, is Chief Medical Officer and Chief Innovation Officer of SimonMed Imaging, one of the nation's largest outpatient medical imaging providers, where he leads clinical strategy, technology integration, and innovation across nearly 200 imaging centers coast to coast. He has spearheaded several industry-first, direct-to-consumer AI and longevity programs, including SimonMed's Mammogram Plus Heart initiative, and oversees one of the largest real-world deployments of clinical AI in radiology. Board-certified in Diagnostic Radiology with subspecialty training in Breast Imaging, Dr. Raj trained at NYU, Baylor College of Medicine, and Harvard Medical School, earned his MBA from Emory University's Goizueta Business School, and is a nationally recognized thought leader with over 30 peer-reviewed publications and 50+ national presentations.  In This Episode... Join Ghazenfer Mansoor in today's episode of Lessons from the Leap as he speaks with Dr. Sean Raj, Chief Medical Officer and Chief Innovation Officer at SimonMed Imaging, the largest exclusively outpatient radiology practice in the United States. The conversation explores how AI in radiology is reshaping the field, not by replacing radiologists, but by acting as a force multiplier that helps them read faster, catch more, and perform at a higher level for longer. Dr. Raj walks through SimonMed's approach to building trust in AI-powered diagnostics, from in-house testing of vendor claims to the layered progression of AI capabilities, from triage and detection to risk stratification and automated reporting. He also shares how SimonMed is turning medical imaging into a proactive health platform through programs like Mammogram Plus Heart, and how personalized, Instagram-style patient reports are driving real behavior change rather than insights that go unused. The discussion closes with a broader look at where healthcare is headed, including the coming surge in imaging volumes as cancer rates rise, the persistent gaps in radiology's tech stack, and what founders building medical AI tools need to understand to become enterprise-ready. It's a candid, forward-looking conversation about the future of preventive medicine and the role AI will play in getting patients from insight to action.