Episode Details
Back to EpisodesThe AI Paradox in Medicine: Superintelligence, Hallucinations, and the Liability Trap
Description
Artificial Intelligence has officially passed the Boards—OpenEvidence recently scored a historic 100% on the USMLE. But does perfect test-taking translate to safe patient care?
In this episode, we peel back the polished interface of medical AI to reveal a complex and sometimes dangerous reality. We explore the surprising data showing how generalist models like GPT-5 are outperforming specialized clinical tools on reasoning benchmarks, even as those same tools struggle with stability in real-world scenarios.
Join us as we dissect the critical risks facing modern healthcare:
• The "De-Skilling" Crisis: How automation bias is causing even expert clinicians to overturn correct diagnoses in favor of flawed AI advice.
• The Hallucination Hazard: Why confident, citation-backed AI summaries can still recommend harmful treatments—and how to spot them.
• The Liability Vacuum: In the eyes of the law, AI is a tool, not a doctor. We explain why the "learned intermediary" doctrine means that when the algorithm fails, the human physician bears 100% of the legal burden.
We dive deep into the "black box" of algorithmic bias, the threat of early diagnostic closure, and the urgent need for a "human-in-the-loop" to ensure that the future of medicine remains safe, equitable, and personalized.
Don't navigate your health journey alone. For personalized, human-centered care that leverages the best of science without losing the art of medicine, connect with us today.
Contact Dr. Kumar at LifeWellMD Web: lifewellmd.com Phone: 561-210-9999
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