Contrastive learning enhances fairness in pathology artificial intelligence systems

Shih‐Yen Lin(Harvard University), Kun‐Hsing Yu(Harvard University), Jeffrey A. Golden(University of California, San Francisco), Keith L. Ligon(Brigham and Women's Hospital), Pei-Chen Tsai(Harvard University), Jeffrey A. Meyerhardt(CancerCare), Ying‐Chun Lo(Brigham and Women's Hospital), David J. Cook(Caterpillar (United States)), Junhan Zhao(Harvard University), Thomas Roetzer-Pejrimovsky(Medical University of Vienna), Sabina Signoretti(Brigham and Women's Hospital), David M. Meredith(Brigham and Women's Hospital), Nancy U. Lin(Dana-Farber Cancer Institute), MacLean P. Nasrallah(University of Pennsylvania), Yin Ying Ho(Agency for Science, Technology and Research), Chun-Yen Chen(National Cheng Kung University), Jung-Hsien Chiang(National Cheng Kung University), Fang-Yi Su(National Cheng Kung University), Elizabeth Healey(Harvard University), Deborah Dillon(Harvard University), Po-Jen Lin(Danbury Hospital), Shuji Ogino(Broad Institute), Nipon Chaisuriya(Khon Kaen University), Lynette M. Sholl(Brigham and Women's Hospital), Fei Li(Chinese Academy of Sciences), Michael T. Lee(Southern Taiwan University of Science and Technology), Ting‐Wan Kao(Harvard University), Dmytro Vremenko(Harvard University), Adelheid Wöehrer
Cell Reports Medicine
December 1, 2025
Cited by 5


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