Bridging the Implementation Gap: Artificial Intelligence and Machine Learning Applications in Heat Risk Management
This systematic review examines how AI and machine learning are being applied to extreme-heat risk management, finding that most research emphasizes prediction and prevention while preparedness, response, and recovery remain underdeveloped. The authors identify opportunities to integrate real-time, participatory, and post-event data to better support community-centered decisions.
Sep 21, 2026