Hong-Xiang Mei, Jun-Hao Cheng, Yi-Zhou Li, Huang-Shui Ma, Kai-Wen Zhang, Yu-Ke Shou, Yang Li
{"title":"[Advances in the application of machine learning in maxillofacial cysts and tumors].","authors":"Hong-Xiang Mei, Jun-Hao Cheng, Yi-Zhou Li, Huang-Shui Ma, Kai-Wen Zhang, Yu-Ke Shou, Yang Li","doi":"10.7518/hxkq.2020.06.014","DOIUrl":null,"url":null,"abstract":"<p><p>The application of artificial intelligence in medicine has gradually received attention along with its development. Many studies have shown that machine learning has a wide range of applications in stomatology, especially in the clinical diagnosis and treatment of maxillofacial cysts and tumors. This article reviews the application of machine learning in maxillofacial cyst and tumor to provide a new method for the diagnosis of oral and maxillofacial diseases.</p>","PeriodicalId":35800,"journal":{"name":"华西口腔医学杂志","volume":"38 6","pages":"687-691"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738924/pdf/wcjs-38-06-687.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"华西口腔医学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7518/hxkq.2020.06.014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The application of artificial intelligence in medicine has gradually received attention along with its development. Many studies have shown that machine learning has a wide range of applications in stomatology, especially in the clinical diagnosis and treatment of maxillofacial cysts and tumors. This article reviews the application of machine learning in maxillofacial cyst and tumor to provide a new method for the diagnosis of oral and maxillofacial diseases.
期刊介绍:
West China Journal of Stomatology (WCJS, pISSN 1000-1182, eISSN 2618-0456, CN 51-1169/R), published bimonthly, is a peer-reviewed Open Access journal, hosted by Sichuan university and Ministry of Education of the People's Republic of China. WCJS was established in 1983 and indexed in Medline/Pubmed, SCOPUS, EBSCO, Chemical Abstract(CA), CNKI, WANFANG Data, etc.