Reliability of LLMs as Medical Assistants for the General Public: a Randomized Preregistered Study
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
Study of public use of a generalist LLM chatbot for health queries: patterns, accuracy, and implications for health communication.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
CDC blog on AI in medicine and public health: imaging, big data, and ethical challenges post-pandemic. Rasooly & Khoury, March 2022.
Gallup/West Health poll (2025): 25% of Americans use AI for health info; 59% before doctor visits, 56% after—mainly as a care supplement.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Dr. David Newman-Toker of Johns Hopkins discusses talks with House members on AI bias and privacy concerns.
Challenges and solutions for integrating AI into governmental public health decision-making, including governance and trust.
Discussion of health equity and ethical considerations when using AI in public health programs and policy decisions.
Using generative AI to accelerate public health genomics data standardization and interoperability across surveillance systems.
This ASTHO blog discusses the benefits and risks of AI in healthcare and federal legislation, including privacy, bias, and safety concerns.