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.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
Content analysis of social determinants of health accelerator plans using AI/NLP to identify themes and equity gaps at scale.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
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.
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.
Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
Empirical study using LLMs and prompt engineering to generate health awareness messages, evaluating quality for public health communication.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.