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The aim of this work is to examine the diagnostic accuracy of ai in digital pathology images. Ai is changing how pathology is practiced by giving pathologists tools that improve accuracy, reduce variation, standardize results, speed up workflows, and boost performance In general, ai in pathology is used in six key areas. Generative artificial intelligence (ai) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Current applications of artificial intelligence in pathology—from diagnostic standardization to workflow efficiency—demonstrate its potential to augment diagnostic accuracy, expedite processes, and improve consistency across institutions. This review highlights the integration of ai into immunohistochemistry (ihc) and molecular pathology (mp), where its potential to enhance diagnostic accuracy, efficiency, and reproducibility is becoming increasingly evident.
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