Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including surgical pathology. This systematic review examines the impact of AI on diagnostic accuracy in surgical pathology, evaluating its effectiveness, benefits and challenges. By analyzing recent literature, the review highlights how AI technologies, including machine learning and deep learning algorithms, are reshaping diagnostic practices, improving accuracy and influencing clinical outcomes. The review also identifies current limitations and offers insights into future directions for integrating AI into surgical pathology.
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Journal of Surgical Pathology and Diagnosis received 15 citations as per Google Scholar report
