Department of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
J Cosmet Dermatol. 2022 Nov;21(11):5993-6004. doi: 10.1111/jocd.15323. Epub 2022 Sep 20.
Melanoma accounts for the majority of skin cancer deaths. Artificial intelligence has been applied in many types of cancers, and in melanoma in recent years. However, no systematic review summarized the application of artificial intelligence in melanoma.
This study aims to systematically review previously published articles to explore the application of artificial intelligence in melanoma.
MATERIALS & METHODS: PubMed database was used to search the eligible publications on August 1, 2020. The query term was "artificial intelligence" and "melanoma."
A total of 51 articles were included in this review. Artificial intelligence technique is mainly used in the evaluation of dermoscopic images, other image segmentation and processing, and artificial intelligence diagnosis system.
Artificial intelligence is also applied in metastasis prediction, drug response prediction, and prognosis of melanoma. Besides, patients' perspectives of artificial intelligence and collaboration of human and artificial intelligence in melanoma also attracted attention. The query term might not include all articles, and we could not examine the algorithms that were built without publication.
The performance of artificial intelligence in melanoma is satisfactory and the future for potential applications is enormous.
黑色素瘤是皮肤癌死亡的主要原因。近年来，人工智能已应用于多种癌症，包括黑色素瘤。然而，目前尚无系统综述对人工智能在黑色素瘤中的应用进行总结。
本研究旨在系统地回顾已发表的文献，以探讨人工智能在黑色素瘤中的应用。
检索 2020 年 8 月 1 日之前在 PubMed 数据库发表的关于人工智能和黑色素瘤的相关文献，检索词为“artificial intelligence”和“melanoma”。
本研究共纳入 51 篇文献。人工智能技术主要应用于皮肤镜图像评估、其他图像分割和处理以及人工智能诊断系统。
人工智能还应用于黑色素瘤的转移预测、药物反应预测和预后评估。此外，患者对人工智能的看法以及人工智能与人类在黑色素瘤中的合作也受到了关注。检索词可能并未包含所有相关文献，并且我们无法对未发表的算法进行评估。
人工智能在黑色素瘤中的表现令人满意，未来具有巨大的应用潜力。
