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Artificial Intelligence in Melanoma Dermatopathology: A Review of Literature
Hannah Neimy1, John Elia Helmy1, Alan Snyder2
1College of Medicine, Medical University of South Carolina, Charleston, SC; and.
Abstract:
Pathology serves as a promising field to integrate artificial intelligence into clinical practice as a powerful screening tool. Melanoma is a common skin cancer with high mortality and morbidity, requiring timely and accurate histopathologic diagnosis. This review explores applications of artificial intelligence in melanoma dermatopathology, including differential diagnostics, prognosis prediction, and personalized medicine decision-making.

