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黑色素瘤皮肤病理学中的人工智能:文献综述

Artificial Intelligence in Melanoma Dermatopathology: A Review of Literature.

作者信息

Neimy Hannah, Helmy John Elia, Snyder Alan, Valdebran Manuel

机构信息

College of Medicine, Medical University of South Carolina, Charleston, SC; and.

Department of Dermatology & Dermatologic Surgery, Medical University of South Carolina, Charleston, SC.

出版信息

Am J Dermatopathol. 2024 Feb 1;46(2):83-94. doi: 10.1097/DAD.0000000000002593. Epub 2023 Nov 14.

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.

摘要

病理学作为一个有前景的领域,可将人工智能作为一种强大的筛查工具整合到临床实践中。黑色素瘤是一种常见的皮肤癌,死亡率和发病率都很高,需要及时、准确的组织病理学诊断。这篇综述探讨了人工智能在黑色素瘤皮肤病理学中的应用,包括鉴别诊断、预后预测和个性化医疗决策。

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