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The article discusses the challenges and potential benefits of integrating AI in clinical pathology, specifically in tasks such as cell segmentation, image classification, and prognosis prediction. The researchers from Stanford University developed a digital pathology framework, nuclei.io, which utilizes active learning and human-in-the-loop feedback to enhance diagnostic accuracy and efficiency. Two studies using this framework showed promising results in identifying plasma cells in endometrial biopsies and detecting colorectal cancer metastasis in lymph nodes.