A generalizable foundation model for analysis of human brain MRI.

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Bibliographic Details
Title: A generalizable foundation model for analysis of human brain MRI.
Authors: Tak D; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Garomsa BA; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Zapaishchykova A; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Chaunzwa TL; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Climent Pardo JC; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Ye Z; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Zielke J; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Ravipati Y; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Pai S; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Vajapeyam S; Boston Children's Hospital, Boston, MA, USA., Mahootiha M; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Parker M; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Pike LRG; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Smith C; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Familiar AM; University of Pennsylvania, Philadelphia, PA, USA., Liu KX; Boston Children's Hospital, Boston, MA, USA., Prabhu S; Boston Children's Hospital, Boston, MA, USA., Arnaout O; Brigham and Women's Hospital, Neurosciences Center, Boston, MA, USA., Bandopadhayay P; Boston Children's Hospital, Boston, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA., Nabavizadeh A; University of Pennsylvania, Philadelphia, PA, USA.; Children's Hospital of Philadelphia, Philadelphia, PA, USA., Mueller S; Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, CA, USA., Aerts HJ; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Radiology and Nuclear Medicine, CARIM and GROW, Maastricht University, Maastricht, The Netherlands., Huang RY; Boston Children's Hospital, Boston, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA.; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Poussaint TY; Boston Children's Hospital, Boston, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA., Kann BH; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Boston, MA, USA. bkann@bwh.harvard.edu.; Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. bkann@bwh.harvard.edu.; Dana-Farber Cancer Institute, Boston, MA, USA. bkann@bwh.harvard.edu.
Source: Nature neuroscience [Nat Neurosci] 2026 Apr; Vol. 29 (4), pp. 945-956. Date of Electronic Publication: 2026 Feb 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: United States NLM ID: 9809671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1726 (Electronic) Linking ISSN: 10976256 NLM ISO Abbreviation: Nat Neurosci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-1726
DOI:10.1038/s41593-026-02202-6