{"title":"人工智能与结直肠息肉检测","authors":"Brandon J. Teng, M. Byrne","doi":"10.21037/jmai.2019.09.04","DOIUrl":null,"url":null,"abstract":"Colorectal cancer (CRC) is the second leading cause of cancer death, and is a significant cause of morbidity and mortality. This is a growing topic discussed on public media networks due to the worldwide rise in CRC incidence among people under 50 years of age and recent American Cancer Society recommendations for earlier CRC screening. Colonoscopy remains the most effective method of detection and removal of neoplastic polyps.","PeriodicalId":73815,"journal":{"name":"Journal of medical artificial intelligence","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/jmai.2019.09.04","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and colorectal polyp detection\",\"authors\":\"Brandon J. Teng, M. Byrne\",\"doi\":\"10.21037/jmai.2019.09.04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Colorectal cancer (CRC) is the second leading cause of cancer death, and is a significant cause of morbidity and mortality. This is a growing topic discussed on public media networks due to the worldwide rise in CRC incidence among people under 50 years of age and recent American Cancer Society recommendations for earlier CRC screening. Colonoscopy remains the most effective method of detection and removal of neoplastic polyps.\",\"PeriodicalId\":73815,\"journal\":{\"name\":\"Journal of medical artificial intelligence\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.21037/jmai.2019.09.04\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical artificial intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21037/jmai.2019.09.04\",\"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.2019.09.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence and colorectal polyp detection
Colorectal cancer (CRC) is the second leading cause of cancer death, and is a significant cause of morbidity and mortality. This is a growing topic discussed on public media networks due to the worldwide rise in CRC incidence among people under 50 years of age and recent American Cancer Society recommendations for earlier CRC screening. Colonoscopy remains the most effective method of detection and removal of neoplastic polyps.
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