Artificial Intelligence in Melanoma Dermatopathology: A Review of Literature

被引：2
|
作者：
Neimy, Hannah [1 ,3 ]
Helmy, John Elia [1 ]
Snyder, Alan [2 ]
Valdebran, Manuel [2 ]
机构：
[1] Med Univ South Carolina, Coll Med, Charleston, SC USA
[2] Med Univ South Carolina, Dept Dermatol & Dermatol Surg, Charleston, SC USA
[3] Med Univ South Carolina, Coll Med, 96 Jonathan Lucas St Ste 601,MSC 617, Charleston, SC 29425 USA
来源：
AMERICAN JOURNAL OF DERMATOPATHOLOGY | 2024年 / 46卷 / 02期
关键词：
artificial intelligence; melanoma; dermatopathology; computer-assisted diagnosis; machine learning; PRIMARY CUTANEOUS MELANOMA; EYELID MALIGNANT-MELANOMA; AMERICAN JOINT COMMITTEE; MITOTIC RATE; PATHOLOGICAL SLIDES; PROGNOSTIC-VALUE; BRAF MUTATIONS; CLASSIFICATION; IDENTIFICATION; IMAGES;
D O I：
10.1097/DAD.0000000000002593
中图分类号：
R75 [皮肤病学与性病学];
学科分类号：
100206 ;
摘要：
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.
引用
收藏
页码：83 / 94
页数：12
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