Adam Rodman MD

In this session, Dr. Dylan Fortman, an expert in health professions education, alongside Dr. Adam Rodman and Dr. Laurah Turner, dive deep into the transformative role of AI in medical training. They discuss the fundamentals of AI technologies and their applications in educational contexts. The conversation highlights both the promises and pitfalls of AI, including concerns about bias and the need for human oversight. They also explore innovative strategies for integrating AI while emphasizing the importance of maintaining a human touch in healthcare education.

Adam Rodman, physician, informatician, and historian of medicine, explores how large language models reshape clinical reasoning. He traces the arc from early diagnostic systems to GPT breakthroughs. He discusses workflow redesigns for clinician–AI collaboration, regulatory and liability gaps, patient-first AI agents, and early signals from urgent-care AI startups.

Stephen Marche, a novelist and columnist, shares insights on the implications of AI in writing and neurology. Sándor Beniczky discusses SCORE-AI's role in automating EEG interpretations, enhancing diagnostic workflow. David T. Jones presents StateViewer, a machine-learning tool that boosts diagnostic accuracy in neurodegenerative disorders. Adam Rodman highlights the potential of large language models in clinical reasoning while stressing the importance of clinician involvement. The conversation weaves through the transformative impact of AI on medicine and the necessity for human connection.