Experts envision AI rapidly analyzing digitized pathology slides to assist diagnosis, highlight uncertainties, assess tumor heterogeneity, and more.
Kun-Hsing Yu, MD, PhD
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Kun-Hsing Yu, MD, PhD, is an associate professor of Biomedical Informatics at Harvard Medical School, an assistant professor of pathology at Brigham and Women's Hospital, and an instructor in epidemiology at Harvard T.H. Chan School of Public Health.
Articles by Kun-Hsing Yu, MD, PhD
Experts discuss how AI can rapidly predict molecular subtypes from H&E slides with 87% accuracy, enhancing but not replacing genomic testing.
Experts discuss how AI can diagnose cancer from standard H&E slides while accounting for slide quality differences to support broader clinical use.
Experts provide an overview of AI's integration into modern pathology and the development of foundation models for cancer diagnosis.
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