JAMA+ AI Conversations AI, Health Care, and What to Expect in 2026
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Oct 9, 2025 Explore how AI is transforming health care by 2026, from detecting hidden brain lesions to enhancing medical imaging. Discover the debate on AI's role in radiology and its potential to reduce clinician burnout. Dive into innovative studies showcasing AI translation capabilities and confronting public perceptions of AI in medicine. Learn about the push for rigorous trials to validate AI health tools and the rise of direct-to-consumer AI products, highlighting both opportunities and risks for the future.
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LLMs Can Translate Clinical Instructions
- Large language models can produce clinically accurate translations that match or exceed professional translators.
- Yulin Hswen notes ChatGPT-4 translated pediatric instructions into Spanish with fewer errors and reviewer preference.
AI Uptake Linked To Radiologist Burnout
- Early radiology AI adoption correlated with higher reported burnout among radiologists in a cross-sectional survey.
- Roy H. Perlis cautions that AI's productivity gains may not automatically improve clinician well-being without careful integration.
Disclosure Of AI Can Reduce Patient Trust
- Public trust drops when physicians explicitly state they use AI for care tasks.
- Yulin Hswen highlights survey data showing decreases in perceived competence, trust, empathy, and appointment willingness.