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Dirty White Coat
Mel Herbert for FoolyBoo Inc
19 episodes
3 days ago
Send us a text We examine how clinician-built AI can safely support emergency care, where consumer tools fall short, and why planning, context, and evaluation matter more than model hype. We also share a patient-facing approach to unify records and recordings for safer, clearer answers. • differences between consumer and medical‑grade AI, HIPAA and BAAs • model regressions, sycophancy, and hallucinations • context engineering and planned prompting for safety • ambient clinical decision suppo...
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Education
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All content for Dirty White Coat is the property of Mel Herbert for FoolyBoo Inc and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Send us a text We examine how clinician-built AI can safely support emergency care, where consumer tools fall short, and why planning, context, and evaluation matter more than model hype. We also share a patient-facing approach to unify records and recordings for safer, clearer answers. • differences between consumer and medical‑grade AI, HIPAA and BAAs • model regressions, sycophancy, and hallucinations • context engineering and planned prompting for safety • ambient clinical decision suppo...
Show more...
Education
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AI vs. Doctors: Navigating Medicine's Future with ChatGPT and Human Expertise
Dirty White Coat
28 minutes
9 months ago
AI vs. Doctors: Navigating Medicine's Future with ChatGPT and Human Expertise
Send us a text Mel interviews Graham Walk of "MD Calc" fame. This episode explores the evolving role of AI in healthcare, focusing on a study that compares ChatGPT's performance to that of human doctors in managing complex medical cases. We discuss the implications of these findings, the potential for misinformation, and the future of AI integration in clinical practice. • Examination of the BMJ study on AI vs. doctors • Real-world application of AI in patient care • Concerns around A...
Dirty White Coat
Send us a text We examine how clinician-built AI can safely support emergency care, where consumer tools fall short, and why planning, context, and evaluation matter more than model hype. We also share a patient-facing approach to unify records and recordings for safer, clearer answers. • differences between consumer and medical‑grade AI, HIPAA and BAAs • model regressions, sycophancy, and hallucinations • context engineering and planned prompting for safety • ambient clinical decision suppo...