Published in Nature Medicine, a paper on the study describes an AI system for computational pathology that achieves clinical-grade accuracy levels. Researchers developed deep-learning algorithms to build a system that can detect prostate cancer, skin cancer and breast cancer with near-perfect accuracy, according to the paper. These algorithms are based on a dataset of nearly 45,000 de-identified, digitized slide images from more than 15,000 cancer patients from 44 countries.
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