{"title":"人工智能在皮肤科诊断和临床分析中的新兴作用","authors":"Mingling Chen, Shengzhen Ye","doi":"10.4103/ds.ds-d-23-00025","DOIUrl":null,"url":null,"abstract":"Dermatology, as a highly intuitive clinical discipline, requires dermatologists to apply their own knowledge and clinical experience to make a reasonable diagnosis for various skin diseases. However, the diagnosis results are largely affected by the subjective consciousness of dermatologists, and there is a certain misdiagnosis rate, especially in areas with low medical levels. Therefore, there is an urgent need for more accurate, objective, and efficient auxiliary diagnostic tools to improve the diagnostic level of skin diseases. Facing an increasing number of patients and higher requirements for accurate diagnosis of diseases, Artificial Intelligence (AI) technology has attracted considerable attention in the field of dermatology. As a nonorganism, the computer is not affected by subjective consciousness, emotion, fatigue, and other factors in the recognition process. It helps to improve the efficiency of diagnosis and assists human doctors to provide objective and accurate diagnosis results. This paper systematically summarizes the research progress of AI in the diagnosis and application of skin cancers, acne, rosacea, onychomycosis, psoriasis, vitiligo, atopic dermatitis, and eczema diseases at home and abroad in recent years, hoping to help dermatologists have a deeper understanding of AI.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The emerging role of Artificial Intelligence in diagnosis and clinical analysis of dermatology\",\"authors\":\"Mingling Chen, Shengzhen Ye\",\"doi\":\"10.4103/ds.ds-d-23-00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dermatology, as a highly intuitive clinical discipline, requires dermatologists to apply their own knowledge and clinical experience to make a reasonable diagnosis for various skin diseases. However, the diagnosis results are largely affected by the subjective consciousness of dermatologists, and there is a certain misdiagnosis rate, especially in areas with low medical levels. Therefore, there is an urgent need for more accurate, objective, and efficient auxiliary diagnostic tools to improve the diagnostic level of skin diseases. Facing an increasing number of patients and higher requirements for accurate diagnosis of diseases, Artificial Intelligence (AI) technology has attracted considerable attention in the field of dermatology. As a nonorganism, the computer is not affected by subjective consciousness, emotion, fatigue, and other factors in the recognition process. It helps to improve the efficiency of diagnosis and assists human doctors to provide objective and accurate diagnosis results. This paper systematically summarizes the research progress of AI in the diagnosis and application of skin cancers, acne, rosacea, onychomycosis, psoriasis, vitiligo, atopic dermatitis, and eczema diseases at home and abroad in recent years, hoping to help dermatologists have a deeper understanding of AI.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ds.ds-d-23-00025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ds.ds-d-23-00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
The emerging role of Artificial Intelligence in diagnosis and clinical analysis of dermatology
Dermatology, as a highly intuitive clinical discipline, requires dermatologists to apply their own knowledge and clinical experience to make a reasonable diagnosis for various skin diseases. However, the diagnosis results are largely affected by the subjective consciousness of dermatologists, and there is a certain misdiagnosis rate, especially in areas with low medical levels. Therefore, there is an urgent need for more accurate, objective, and efficient auxiliary diagnostic tools to improve the diagnostic level of skin diseases. Facing an increasing number of patients and higher requirements for accurate diagnosis of diseases, Artificial Intelligence (AI) technology has attracted considerable attention in the field of dermatology. As a nonorganism, the computer is not affected by subjective consciousness, emotion, fatigue, and other factors in the recognition process. It helps to improve the efficiency of diagnosis and assists human doctors to provide objective and accurate diagnosis results. This paper systematically summarizes the research progress of AI in the diagnosis and application of skin cancers, acne, rosacea, onychomycosis, psoriasis, vitiligo, atopic dermatitis, and eczema diseases at home and abroad in recent years, hoping to help dermatologists have a deeper understanding of AI.