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 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.
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.
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.
As AI adoption grows in public health, understanding its uses and ensuring responsible application are key to protecting privacy, minimizing bias, and improving outcomes.
This podcast highlights the BEACON Portal, where Illinois and Google use AI matching to streamline children's behavioral health access.
This podcast explores how AI can augment core public health functions by supporting cognitive tasks like data analysis and communication.
This webinar explores how AI-powered swarm intelligence can boost public health preparedness through inclusive planning and real-time data sharing.
Dr. David Newman-Toker of Johns Hopkins discusses talks with House members on AI bias and privacy concerns.
This podcast highlights ongoing federal discussions around regulating AI in healthcare and public health.
Dr. Kris Mork, Director of Public Health Informatics at Guidehouse, talks about how the development of AI needs to be inclusive.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Review of next-generation geospatial AI methods and applications in public health, environmental monitoring, and urban planning.