About

This special session explores how Artificial Intelligence (AI) and Machine Learning (ML) can enhance public health responses in high-risk environments. We'll focus on AI-driven early warning systems, optimized allocation of health resources, and public health interventions informed by precise data. The session will also consider strategies to mitigate impacts on food security, mental health, and community stability. Researchers, practitioners, and policymakers at the intersection of AI, environmental science, and public health are encouraged to contribute.

Topics

- AI in Public Health Crisis Management for Extreme Environments
- Telehealth and Remote Monitoring in Drought-Prone Regions
- Health-Climate Nexus: Insights from Big Data Analytics
- AI-Enabled Mental Health Monitoring
- Policy-Driven AI Models for Health and Environmental Sustainability
- Mobile Health Applications for Drought Risk Reduction
- Food Security, Nutrition, and Health under Drought Conditions
- eHealth Innovations in Global Drought Response

 Organizing Chair