Comparative study evaluating online health information quality using generative AI vs. traditional sources for accuracy and reliability.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
Blended online course from Digital Bridge giving community health workers foundational AI literacy for public health and service delivery.
Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
Washington County, OR AI acceptable use policy: guidelines for responsible generative AI use, data protection, and human review of AI outputs.
Gallup/West Health poll (2025): 25% of Americans use AI for health info; 59% before doctor visits, 56% after—mainly as a care supplement.
Op-ed arguing public health's real risk is AI hesitation, not adoption—urging professionals to engage and shape AI use. Forbes, 2026.
HSCC living glossary of healthcare AI terms—governance-ready definitions for clinical, operational, compliance, and technical stakeholders.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
How modernized surveillance systems leveraging AI and data sharing can improve global public health security preparedness.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
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.
Statewide generative AI policy establishing governance, acceptable use, and accountability standards for all state agencies.
CDC guide for STLT public health agencies on adopting generative AI tools: governance, risk management, and responsible use practices.
Nature perspective on consumer-facing AI for public health: examines evidence gaps and considerations for responsible deployment.
CDC's vision for AI in public health: accelerating detection and response, reducing operational burden, and empowering an AI-ready workforce.