Experts provide an overview of AI's integration into modern pathology and the development of foundation models for cancer diagnosis.
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The Future of Pathology with AI
In this series of OncChats: The Future of Pathology with AI, Toufic Kachaamy, MD, of City of Hope, Madappa Kundranda, MD, PhD, of Banner MD Anderson Cancer Center, and Kun-Hsing Yu, MD, PhD, of Harvard Medical School, explore how AI is transforming pathology.
The Future of Pathology with AI
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Experts discuss how AI can diagnose cancer from standard H&E slides while accounting for slide quality differences to support broader clinical use.
Experts discuss how AI can rapidly predict molecular subtypes from H&E slides with 87% accuracy, enhancing but not replacing genomic testing.
Experts envision AI rapidly analyzing digitized pathology slides to assist diagnosis, highlight uncertainties, assess tumor heterogeneity, and more.
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