JAMA+ AI Conversations Discussing the Latest Research in AI and Health
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Dec 18, 2025 Explore the rapid adoption of generative AI in U.S. hospitals and the uneven distribution across different types. Delve into the risks of early implementation and the need for robust evaluations. Learn how large vendors shape AI adoption and its impact on smaller innovators. Discover groundbreaking predictive models for mental health and the importance of validating these techniques in real-world settings. The hosts also discuss the differences in AI regulation between Europe and the U.S., and how AI can enhance clinical trial efficiency.
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Rapid Gen AI Adoption Outpaces Evaluation
- Generative AI is diffusing rapidly across U.S. hospitals with many early adoptions.
- Rapid uptake may outpace evaluation of accuracy, bias, and monitoring, risking premature scaling.
Early Adopters May Miss Key Risks
- Early adopters often perform minimal evaluation and may underestimate risks.
- Those who measure accuracy and bias tend to adopt more slowly, creating a speed-versus-safety tension.
Vendor Concentration Shapes AI Use
- Major vendors like Epic shape the market and accelerate adoption when they add generative features.
- This concentration can stifle smaller innovators and channel hospitals toward vendor-default tools.