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Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence

Medicine and Health

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence

S. Kalra, H. R. Tizhoosh, et al.

This groundbreaking research conducted by Shivam Kalra, H. R. Tizhoosh, and their colleagues investigates how AI-powered image search can significantly enhance diagnostic accuracy in histopathology. With nearly 30,000 whole-slide images analyzed, their innovative majority voting approach demonstrates a path toward improved consensus in cancer subtype diagnosis.

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