Zijun Lin, Haoyan Shen, Xinguang Liu, Wanrui Ma, Mingfa Wang, Jie Ruan, Hongbin Yu, Sha Ma, Xuerong Sun
{"title":"Recent advances of artificial intelligence in melanoma clinical practice.","authors":"Zijun Lin, Haoyan Shen, Xinguang Liu, Wanrui Ma, Mingfa Wang, Jie Ruan, Hongbin Yu, Sha Ma, Xuerong Sun","doi":"10.1097/CMR.0000000000000922","DOIUrl":null,"url":null,"abstract":"<p><p>Skin melanoma is a lethal cancer. The incidence of melanoma is increasing rapidly in all regions of the world. Despite significant breakthroughs in melanoma treatment in recent years, precise diagnosis of melanoma is still a challenge in some cases. Even specialized physicians may need time and effort to make accurate judgments. As artificial intelligence (AI) technology advances into medical practice, it may bring new solutions to this problem based on its efficiency, accuracy, and speed. This paper summarizes the recent progress of AI in melanoma-related applications, including melanoma diagnosis and classification, the discovery of new medication, guiding treatment, and prognostic assessment. The paper also compares the effectiveness of various algorithms in melanoma application and suggests future research directions for AI in melanoma clinical practice.</p>","PeriodicalId":18550,"journal":{"name":"Melanoma Research","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Melanoma Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CMR.0000000000000922","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/4 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Skin melanoma is a lethal cancer. The incidence of melanoma is increasing rapidly in all regions of the world. Despite significant breakthroughs in melanoma treatment in recent years, precise diagnosis of melanoma is still a challenge in some cases. Even specialized physicians may need time and effort to make accurate judgments. As artificial intelligence (AI) technology advances into medical practice, it may bring new solutions to this problem based on its efficiency, accuracy, and speed. This paper summarizes the recent progress of AI in melanoma-related applications, including melanoma diagnosis and classification, the discovery of new medication, guiding treatment, and prognostic assessment. The paper also compares the effectiveness of various algorithms in melanoma application and suggests future research directions for AI in melanoma clinical practice.
期刊介绍：
Melanoma Research is a well established international forum for the dissemination of new findings relating to melanoma. The aim of the Journal is to promote the level of informational exchange between those engaged in the field. Melanoma Research aims to encourage an informed and balanced view of experimental and clinical research and extend and stimulate communication and exchange of knowledge between investigators with differing areas of expertise. This will foster the development of translational research. The reporting of new clinical results and the effect and toxicity of new therapeutic agents and immunotherapy will be given emphasis by rapid publication of Short Communications. Thus, Melanoma Research seeks to present a coherent and up-to-date account of all aspects of investigations pertinent to melanoma. Consequently the scope of the Journal is broad, embracing the entire range of studies from fundamental and applied research in such subject areas as genetics, molecular biology, biochemistry, cell biology, photobiology, pathology, immunology, and advances in clinical oncology influencing the prevention, diagnosis and treatment of melanoma.
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