Advanced artificial intelligence (AI) systems have shown promise in revolutionizing the field of pathology by transforming the detection, diagnosis, and treatment of disease; however, the underrepresentation of certain patient populations in pathology datasets used to develop AI models may limit the overall quality of their performance and widen health disparities.
Researchers reduce bias in pathology AI algorithms and enhance accuracy using foundation models
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