
GeriPal - A Geriatrics and Palliative Care Podcast
The Promise and Pitfalls of AI in Medicine: Bob Wachter
Apr 18, 2024
Bob Wachter, Chair of Medicine at UCSF, discusses the promise and pitfalls of AI in healthcare. Topics include AI's empathy, predictive models, consolidation of EHRs, de-skilling of clinicians, use cases like digital scribes, concerns about bias, and the role of AI in medicine. The conversation explores trust, accuracy, and human oversight in AI-generated medical content.
44:32
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Quick takeaways
- AI can outperform human clinicians in empathy, transforming patient interactions.
- Predictive models in healthcare show versatility, but translating minor accuracy gains to clinical significance is a challenge.
Deep dives
AI and Medicine: Current Applications and Concerns
AI in medicine poses a dichotomy between short and long-term impacts. Short-term benefits include enhancing healthcare quality, access, and efficiency, especially in addressing prevailing healthcare system flaws. Despite concerns about job displacement and misinformation risks, AI shows promise in improving patient outcomes and clinician practices.
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