{"title":"利用人工智能检测结直肠息肉","authors":"Y. Mori, S. Kudo, M. Misawa","doi":"10.21037/JMAI.2019.05.01","DOIUrl":null,"url":null,"abstract":"Colorectal cancer (CRC) is a major cause of cancer-related mortality in most countries. Colonoscopy during which all neoplastic and pre-malignant polyps (e.g., adenomas) are eradicated is considered beneficial in decreasing the incidence of CRCs and their associated mortality (1,2). This concept has been supported by several large-scale prospective studies (3). The quality of the colonoscopy procedure, however, varies according to the expertise of the endoscopist.","PeriodicalId":73815,"journal":{"name":"Journal of medical artificial intelligence","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/JMAI.2019.05.01","citationCount":"1","resultStr":"{\"title\":\"Detecting colorectal polyps with use of artificial intelligence\",\"authors\":\"Y. Mori, S. Kudo, M. Misawa\",\"doi\":\"10.21037/JMAI.2019.05.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Colorectal cancer (CRC) is a major cause of cancer-related mortality in most countries. Colonoscopy during which all neoplastic and pre-malignant polyps (e.g., adenomas) are eradicated is considered beneficial in decreasing the incidence of CRCs and their associated mortality (1,2). This concept has been supported by several large-scale prospective studies (3). The quality of the colonoscopy procedure, however, varies according to the expertise of the endoscopist.\",\"PeriodicalId\":73815,\"journal\":{\"name\":\"Journal of medical artificial intelligence\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.21037/JMAI.2019.05.01\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical artificial intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21037/JMAI.2019.05.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical artificial intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/JMAI.2019.05.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting colorectal polyps with use of artificial intelligence
Colorectal cancer (CRC) is a major cause of cancer-related mortality in most countries. Colonoscopy during which all neoplastic and pre-malignant polyps (e.g., adenomas) are eradicated is considered beneficial in decreasing the incidence of CRCs and their associated mortality (1,2). This concept has been supported by several large-scale prospective studies (3). The quality of the colonoscopy procedure, however, varies according to the expertise of the endoscopist.
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