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Mass General Brigham Researchers Reduce Bias on Pathology AI Algorithms Using Foundation Models, Report Results Serve as 'Call to Action' to Improve Equity

A new study from Mass General Brigham has found that large foundation models that incorporate a richer level of details may mitigate disparities between different demographic groups and enhance model security. Corresponding author Faisal Mahmood, PhD, of the Division of Computational Pathology in the Department of Pathology at Mass General Brigham referred to the findings as a "call to action" for scientists and regulators to utilize diverse data sets in research to benefit all patient groups. Find details in the news story below.

Massachusetts , United-states , Brigham-harvard , Jana-lipkova , Anurag-vaidya , Muhammad-shaban , Richard-chen , Ming-lu , Tiffany-chen , Guillame-jaume , Faisal-mahmood , Department-of-pathology-at-mass