Lab profile
About Mass General Brigham AI
Mass General Brigham AI combines physician expertise with computational resources and technical know-how to deliver clinically relevant artificial intelligence and machine learning-enabled solutions. The initiative supports the full lifecycle of AI products and services from concept to care integration, focusing on bringing clinically meaningful Software as a Medical Device products to market through design, development, validation, deployment, and real-world monitoring.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Healthcare AI ChallengeA first-of-its-kind, multi-institutional collaborative dedicated to the robust evaluation of clinical grade AI solutions through interactive challenges hosted on the Mass General Brigham AI Arena platform.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- AI Monitoring AI with LLMs: The American College of Radiology's Imaging AI Registry.Journal of the American College of Radiology : JACR · 2026
- Performance-Based Frailty Tools Capture Distinct Risk Phenotypes in Kidney Transplant Candidates: A Comparative Analysis of FRAIL and SPPB.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
- DBT-DINO: Toward Foundation Model-Based Analysis of Digital Breast Tomosynthesis.Radiology · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Regulating generative AI in radiology practice: a trilaminar approach to balancing risk with innovationPublicationJun 4, 2025 · pubmed.ncbi.nlm.nih.gov
- Detection of hypertrophic cardiomyopathy on electrocardiogram using artificial intelligencePublicationMay 14, 2025 · pubmed.ncbi.nlm.nih.gov
- Cross-institutional evaluation of large language models for radiology diagnosis extractionPublicationMay 8, 2025 · pubmed.ncbi.nlm.nih.gov
- Generalizability of AI-based image segmentation and centering estimation algorithmPublicationApr 22, 2025 · pubmed.ncbi.nlm.nih.gov
- PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered carePublicationApr 16, 2025 · sciencedirect.com
- Using interpretable rule-learning artificial intelligence to optimally differentiate adrenal pheochromocytomas from adenomas with CT radiomicsPublicationMar 26, 2025 · pubmed.ncbi.nlm.nih.gov
- Medical multimodal multitask foundation model for lung cancer screeningPublicationFeb 11, 2025 · pubmed.ncbi.nlm.nih.gov
- Exploring the future of neurology: how AI is revolutionizing diagnoses, treatments, and beyondPublicationFeb 5, 2025 · pubmed.ncbi.nlm.nih.gov
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.