AI Usage at a Glance
Timeline
Sep 6, 2023
ProductivityPractice documented: Mass 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.
Practice DocumentedView practice →Sep 7, 2023
ProductivityNew evidence: Mass Gen Brigham and GE HealthCare Collaboration Announces AI Algorithm, Radiology Operations Module (ROM), to Optimize Scheduling and Productivity
Evidence AddedView practice →Jan 1, 2024
Data AnalysisPractice documented: Mass 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.
Practice DocumentedView practice →Jun 2, 2024
Data AnalysisNew evidence: Mass General Brigham and GE Healthcare Share Tips for Successful AI in Medical Practice
Evidence AddedView practice →Jul 24, 2024
Data AnalysisNew evidence: Microsoft collaborates with Mass General Brigham and University of Wisconsin–Madison to further advance AI foundation models for medical imaging
Evidence AddedView practice →Oct 29, 2024
Data AnalysisPractice documented: Mass General Brigham researchers developed and validated an AI model that automatically identifies and measures aggressive prostate cancer lesions in MRI scans, with the goal of helping clinicians make more consistent and precise treatment decisions.
Practice DocumentedView practice →Feb 11, 2025
OtherPractice documented: 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.
Practice DocumentedView practice →May 8, 2025
Data AnalysisPractice documented: Mass 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.
Practice DocumentedView practice →Jun 16, 2025
Data AnalysisPractice documented: Mass General Brigham researchers developed and tested an AI tool called AI-CAC, in collaboration with the US Department of Veterans Affairs, that automatically detects hidden signs of heart disease by analyzing routine chest CT scans that were originally taken for unrelated purposes, such as lung cancer screening.
Practice DocumentedView practice →Jul 14, 2025
Data AnalysisNew evidence: AI Can Detect Hidden CVD Disease With Scans Stored in VA Patients Records
Evidence AddedView practice →Jul 29, 2025
OtherNew evidence: Mass General Brigham builds AI tool to warn patients about the dangers of extreme heat
Evidence AddedView practice →Aug 1, 2025
ProductivityPractice documented: Mass General Brigham deployed ambient AI documentation tools — generative AI scribes that listen to patient visits and automatically draft clinical notes for physician review — across its physician workforce starting in July 2023. As of late 2025, the tools were in routine use by more than 4,000 providers across the health system.
Practice DocumentedView practice →Aug 1, 2025
Data AnalysisNew evidence: AI Age Detection Tool Uses Face to Predict Cancer Outcomes
Evidence AddedView practice →Oct 12, 2025
Customer SvcPractice documented: Mass General Brigham deployed an AI-powered app called Care Connect (later rebranded '24/7 Virtual Care') in September 2025, offering patients without a primary care doctor a 24/7 chatbot that interviews them, reviews their medical records, and produces a list of potential diagnoses before connecting them with a telehealth physician. By May 2026, patients had made over 14,000 virtual appointments through the platform.
Practice DocumentedView practice →Nov 24, 2025
ProductivityNew evidence: Mass General Brigham's hybrid ambient approach pays off
Evidence AddedView practice →Nov 25, 2025
ProductivityNew evidence: Hybrid Ambient Documentation Decreases After-Hours Work, Note Delays for Physicians
Evidence AddedView practice →Dec 1, 2025
Data AnalysisPractice documented: Mass General Brigham deployed an internal AI screening tool called RECTIFIER, which reads patient medical records to automatically identify patients who are eligible for clinical trials, and has expanded this to over 20 active use cases across the health system. In December 2025, the health system spun out a separate company called AIwithCare to commercialize this technology.
Practice DocumentedView practice →Dec 12, 2025
Data AnalysisNew evidence: Mass General Brigham Announces New AI Company to Accelerate Clinical Trial Screening and Patient Recruitment
Evidence AddedView practice →Dec 16, 2025
Data AnalysisNew evidence: Mass General Brigham Spins Out AIwithCare: New AI Tool Doubles Clinical Trial Enrollment Rates
Evidence AddedView practice →Dec 22, 2025
Customer SvcNew evidence: Your next primary care doctor could be online only with an AI partner
Evidence AddedView practice →Jan 14, 2026
Customer SvcNew evidence: Mass General Brigham to expand AI-powered primary care
Evidence AddedView practice →Feb 17, 2026
ProductivityNew evidence: Linguistic Effects of Ambient AI on Clinical Documentation: A Matched Pre-Post Study
Evidence AddedView practice →Apr 28, 2026
Data AnalysisNew evidence: AI Tool that Estimates Biological Age from Face Photos Could Serve as Prognostic Biomarker for Cancer
Evidence AddedView practice →May 9, 2026
Customer SvcNew evidence: An AI chatbot used by Mass General Brigham is getting thousands of appointments
Evidence AddedView practice →Recent activity
Mass 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.
FaceAge uses a deep learning algorithm trained on 58,851 photos of healthy individuals, then tested on cohorts of cancer patients receiving radiotherapy. Studies found that cancer patients appeared biologically about five years older than their chronological age per FaceAge, and that older FaceAge estimates correlated with worse survival outcomes. A 2025 study published in The Lancet Digital Health found FaceAge outperformed clinicians in predicting short-term life expectancy for patients receiving palliative radiotherapy. A 2026 study in Nature Communications extended the concept to measuring the rate of facial aging over multiple photos to create a 'Face Aging Rate' prognostic biomarker. Researchers have stated more studies are needed before FaceAge can be routinely used in clinical settings.
Mass 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.
ROM was the first product to emerge from a 10-year AI collaboration between GE HealthCare and Mass General Brigham announced in 2017. Announced in September 2023, it uses machine learning to predict 'missed care opportunities' — instances where a patient is late, misses an appointment, or fails to schedule a follow-up imaging exam — with up to 96% accuracy in preliminary tests. The tool is also commercially available to other healthcare institutions. ROM is part of GE HealthCare's digital imaging product suite and is integrated into radiology administrative workflows.
Mass 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.
Mass General Brigham's collaboration with GE HealthCare focuses on developing AI solutions integrated into CT and MR scanners and PACS (Picture Archiving and Communication System) workstations used by radiologists. One confirmed deployed application is a CT deep learning auto-segmentation algorithm that reduces organ contouring time from three hours to 15–20 minutes. Mass General Brigham was also among the first health systems to deploy medical imaging AI models via Nuance's Precision Imaging Network and NVIDIA's MONAI framework, embedding AI algorithms directly into radiologists' reporting workflows via Nuance PowerScribe. In 2024, Mass General Brigham expanded its Microsoft/Nuance collaboration to develop multimodal AI foundation models for tasks including image interpretation, disease classification, and report generation.
All practices by category
Mass 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.
Mass 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.
Mass General Brigham researchers developed and tested an AI tool called AI-CAC, in collaboration with the US Department of Veterans Affairs, that automatically detects hidden signs of heart disease by analyzing routine chest CT scans that were originally taken for unrelated purposes, such as lung cancer screening.
Mass General Brigham deployed an internal AI screening tool called RECTIFIER, which reads patient medical records to automatically identify patients who are eligible for clinical trials, and has expanded this to over 20 active use cases across the health system. In December 2025, the health system spun out a separate company called AIwithCare to commercialize this technology.
Mass General Brigham researchers developed and validated an AI model that automatically identifies and measures aggressive prostate cancer lesions in MRI scans, with the goal of helping clinicians make more consistent and precise treatment decisions.
Mass 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.
Mass General Brigham deployed ambient AI documentation tools — generative AI scribes that listen to patient visits and automatically draft clinical notes for physician review — across its physician workforce starting in July 2023. As of late 2025, the tools were in routine use by more than 4,000 providers across the health system.
Cite this record
Trace Foundation. (2026). Mass General Brigham: documented AI practices (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/company/0327ca31-f95f-47f6-8acd-665e445cd81a. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/company/0327ca31-f95f-47f6-8acd-665e445cd81a
- Data as of
- July 7, 2026
- Last verified
- August 4, 2026
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