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.
Framework for integrating health equity considerations into AI design and deployment for public health applications.
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.
Los Angeles AI Roadmap: city strategy for responsible AI adoption across departments, public services, and civic engagement.
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.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
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.
Comparative study evaluating online health information quality using generative AI vs. traditional sources for accuracy and reliability.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
How the data center boom driven by AI risks health outcomes in vulnerable communities through noise, pollution, and energy burdens.
Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
State enterprise responsible AI use policy: principles of accountability, transparency, fairness, and privacy for agency AI tools.
State policy governing the enterprise use and development of generative AI tools across government agencies.