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This study evaluated the usefulness of artificial intelligence (AI) algorithms as tools in improving the accuracy of histologic classification of breast tissue. Overall, 100 microscopic photographs (test A) and 152 regions of interest in whole-slide images (test of breast tissue were classified into 4 classes normal, benign, carcinoma in situ (CIS), and invasive carcinoma. The accuracy of 4 pathologists and 3 pathology residents were evaluated without and with the assistance of algorithms. In test A, algorithm A had accuracy of 0.87,
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