Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
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.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
CDC blog on AI in medicine and public health: imaging, big data, and ethical challenges post-pandemic. Rasooly & Khoury, March 2022.
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.
Op-ed arguing public health's real risk is AI hesitation, not adoption—urging professionals to engage and shape AI use. Forbes, 2026.
5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
ASTHO and partners explore public health AI: ethics, equity, privacy, and practical applications.
How AI tools plus community engagement improve adolescent mental health in rural settings. Highlights digital literacy needs. Frontiers, 2025.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
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.