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Reviewed and published by trentmaziarz, July 7, 2026. Discovered and drafted by our automated research pipeline.
Mass General Brigham announced a collaboration with IBM in February 2025 to develop an AI tool that will predict hyperlocal extreme heat events, identify patients at greatest health risk, and send automated warnings to those patients and their care teams before a heat wave strikes.
Details
The tool is being developed through the IBM Sustainability Accelerator program, for which Mass General Brigham was one of five organizations selected out of more than 100 applicants. The planned system will use patient health records — including age, health conditions, medications, and home location — to identify which patients are most vulnerable during extreme heat events. It will then generate patient-specific alerts and suggest risk-reduction actions for patients and clinicians. Initial testing is planned at Mass General Brigham hospitals. As of July 2025, the tool was still in development and had not yet been deployed; sources describe a two-year development timeline.
Products affected
IBM Sustainability Accelerator AI heat risk tool (in development)
Sources & Evidence
News Article
Cite this record
Trace Foundation. (2026). Mass General Brigham: Mass General Brigham announced a collaboration with IBM in February 2025 to develop an AI tool that will predict hyperlocal extreme heat events, identify patients at greatest health risk, and send automated warnings to those patients and their care teams before a heat wave strikes (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/f52579b7-7252-49d3-9f3a-3423e49aa250. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/practice/f52579b7-7252-49d3-9f3a-3423e49aa250
- Data as of
- July 7, 2026
- Last verified
- August 4, 2026
Other practices by Mass General Brigham
Data AnalysisMass General Brigham researchers developed and tested an AI tool called FaceAge, which analyzes a photograph of a person's face to estimate their biological age and predict survival outcomes for patients with cancer. As of 2025–2026, the tool remains in research and validation phases and has not been confirmed as deployed in routine clinical care.ProductivityMass General Brigham integrated a co-developed AI algorithm into its radiology scheduling operations, via the Radiology Operations Module (ROM) built with GE HealthCare, which predicts missed appointments and late arrivals to help optimize scheduling and reduce administrative burden.Data AnalysisMass General Brigham integrated AI tools into its radiology workflows through long-term collaborations with GE HealthCare (since 2017) and Microsoft/Nuance (since 2018), including the development and deployment of AI algorithms for CT and MRI image analysis, organ segmentation, and radiology report generation, deployed within clinical radiology reading rooms.
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