In this insightful discussion, Pelu Tran explores the practical role of artificial intelligence in enhancing clinician productivity and navigating the widespread inefficiencies in healthcare. Drawing from Ferrum Health’s platform, Tran explains how AI enables faster diagnosis, supports care coordination, and amplifies provider capacity—particularly in overburdened fields like radiology. He also highlights the real cost of AI adoption, pointing to the significant resources required to integrate AI into existing healthcare systems. This conversation sheds light on the evolving impact of AI for healthcare productivity and reframes the debate: it’s not just about quality vs. efficiency—it’s about enabling clinicians to sustain care at scale.

In this compelling interview, Dr. Azra Raza challenges the traditional focus of oncology, arguing that early cancer detection should be the central pillar of cancer research and treatment. Sharing her personal journey as an immigrant and oncologist, Dr. Raza critiques the widespread reliance on animal models and late-stage therapies, advocating instead for the study of human tissue and the identification of disease at its earliest stages. Her lifelong work in hematologic malignancies, particularly myelodysplastic syndromes, underscores the urgency of this shift. By focusing on “the first cell” rather than the last, she highlights how early intervention could dramatically reduce suffering and improve survival—raising critical questions about current priorities in cancer care and the persistent challenges in cancer treatment.

Can AI replace doctors—or is it here to restore what’s been lost in medicine? David Norris, CEO of Affineon Health, tackles this provocative question with depth and clarity. Far from eliminating physicians, Norris argues that AI solutions are essential for addressing physician burnout, streamlining administrative tasks, and reviving the human relationship between doctors and patients. He illustrates how AI, like Affineon’s $2.50/day AI assistant, can triage clinical inboxes, flag clinically significant lab trends, and bring 10 years of patient history into a three-second review—freeing doctors to focus on what matters most. This conversation is a must-watch for anyone curious about how AI is reshaping the future of care.