Guidance on potential use of AI in disaster risk and emergency management for prediction, response coordination, and recovery.
How modernized surveillance systems leveraging AI and data sharing can improve global public health security preparedness.
Report on the AI capability gap between advanced AI developers and public health agencies, and strategies to close the divide.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Review of next-generation geospatial AI methods and applications in public health, environmental monitoring, and urban planning.
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.
Study on AI-powered living health promotion campaigns tailored to U.S. communities using real-time data and personalization.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
Case study: geospatial AI applied to public health in Essex County for disease mapping, resource allocation, and health equity.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Research on harnessing AI/ML to enhance public health surveillance: pathogen detection, outbreak forecasting, and data integration.
Review of AI applications in disease surveillance: real-time monitoring, predictive analytics, and early outbreak detection systems.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
How AI tools plus community engagement improve adolescent mental health in rural settings. Highlights digital literacy needs. Frontiers, 2025.
5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
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.
ASTHO and partners explore public health AI: ethics, equity, privacy, and practical applications.