Background: 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.
Aims: 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."
Results: 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.
Discussion: 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.
Conclusion: The performance of artificial intelligence in melanoma is satisfactory and the future for potential applications is enormous.
Keywords: artificial intelligence; cancer management; diagnosis; machine learning; melanoma.
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