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.
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.
Analysis of the growing environmental impact of AI data centers' rising energy demands on climate and sustainability goals.
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.
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.
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.
Empirical study using LLMs and prompt engineering to generate health awareness messages, evaluating quality for public health communication.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
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.