You have probably seen recent headlines that Microsoft has developed an AI model that is 4x more accurate than humans at difficult diagnoses. It’s been published everywhere, AI is 80% accurate compared to a measly 20% human rate, and AI was cheaper too! Does this signal the end of the human physician? Is the title nothing more than clickbait? Or is the truth somewhere in-between? Join Behind the Knife fellow Ayman Ali and Dr. Adam Rodman from Beth Israel Deaconess/Harvard Medical School to discuss what this study means for our future. Studies: Sequential Diagnosis with Large Language Models: https://arxiv.org/abs/2506.22405v1 METR study: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/ Hosts: Ayman Ali, MD Ayman Ali is a Behind the Knife fellow and general surgery PGY-4 at Duke Hospital in his academic development time where he focuses on applications of data science and artificial intelligence to surgery. Adam Rodman, MD, MPH, FACP, @AdamRodmanMD Dr. Rodman is an Assistant Professor and a practicing hospitalist at Beth Israel Deaconess Medical Center. He’s the Beth Israel Deaconess Medical Center Director of AI Programs. In addition, he’s the co-director of the Beth Israel Deaconess Medical Center iMED Initiative. Podcast Link: http://bedside-rounds.org/ Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more. If you liked this episode, check out our recent episodes here: https://app.behindtheknife.org/listen

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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