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.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Review of AI applications in disease surveillance: real-time monitoring, predictive analytics, and early outbreak detection systems.
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.
Guidance on potential use of AI in disaster risk and emergency management for prediction, response coordination, and recovery.
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.
Case study: geospatial AI applied to public health in Essex County for disease mapping, resource allocation, and health equity.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
Research on harnessing AI/ML to enhance public health surveillance: pathogen detection, outbreak forecasting, and data integration.
Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.
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.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.