Vital Signs with Jacob Effron and Nikhil Krishnan Ep 44: Dr. Atul Butte on Healthcare AI Opportunities and Challenges
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May 7, 2024 Dr. Atul Butte, a professor at UCSF and Chief Data Scientist of the UC Health System, discusses healthcare AI opportunities, challenges, hype, and more. Topics include AI adoption timeline, converting skeptical doctors, commercialization in AI, regulating consumer-facing AI apps, coolest AI demos, and what company Dr. Butte would want to run.
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LLMs Transform Clinical Notes
- Large language models (LLMs) are transformative because most medical care documentation consists of clinical notes.
- Automating reading and understanding these notes enables significant AI impact in healthcare.
Human Benchmark Challenges
- Evaluating LLMs requires human experts, often medical residents or fellows, to benchmark AI outputs.
- Specialists sometimes disagree, complicating AI consensus and evaluation.
Master Prompt Engineering
- Effective use of LLMs in healthcare relies heavily on prompt engineering to extract meaningful information.
- Designing prompts to guide LLMs toward structured outputs like JSON improves utility and interpretation.