In this episode, we’re joined by Dr. Nigam Shah, a leading voice in healthcare AI and Stanford Health Care’s Chief Data Scientist. As a Professor of Medicine at Stanford University, Dr. Shah has spent his career turning massive amounts of health data, from EHRs to wearables, into actionable insights that improve clinical care.
Dr. Shah explains what it takes to bring AI out of the lab and into patient care. From Stanford’s groundbreaking approach to advance care planning to the importance of understanding workflows and work capacity before deploying any model, he offers a candid look at the complexities and opportunities of real-world AI in healthcare.
He also introduces the “Turing Trap” concept, explains why “human-in-the-loop” is often misunderstood, and discusses how we can prepare health systems for sustainable, ethical AI adoption. With his unique perspective at the intersection of clinical practice, research, and informatics, Dr. Shah offers a thoughtful, grounded take on how AI can support, not replace, the people at the heart of care.
Please tune in for an eye-opening conversation about responsible AI, the evolution of care delivery, and what it means to be bilingual in tech and medicine.
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