{"title":"人工智能在结直肠病变诊断中的应用","authors":"M. Misawa, S. Kudo, Y. Mori","doi":"10.2530/jslsm.jslsm-42_0025","DOIUrl":null,"url":null,"abstract":"With the rapid advancement of artificial intelligence (AI) technology, a number of studies have been reported in the field of medical imaging. In particular, in the field of colonoscopy, AI-related research and development is rapidly progressing, and AI that has already been approved as a medical device is being introduced into daily clinical practice. In this paper, we review the research and approved AI related to colonoscopy and discuss the future prospects of this field.","PeriodicalId":19350,"journal":{"name":"Nippon Laser Igakkaishi","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence for Diagnosing Colorectal Lesion\",\"authors\":\"M. Misawa, S. Kudo, Y. Mori\",\"doi\":\"10.2530/jslsm.jslsm-42_0025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid advancement of artificial intelligence (AI) technology, a number of studies have been reported in the field of medical imaging. In particular, in the field of colonoscopy, AI-related research and development is rapidly progressing, and AI that has already been approved as a medical device is being introduced into daily clinical practice. In this paper, we review the research and approved AI related to colonoscopy and discuss the future prospects of this field.\",\"PeriodicalId\":19350,\"journal\":{\"name\":\"Nippon Laser Igakkaishi\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nippon Laser Igakkaishi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2530/jslsm.jslsm-42_0025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nippon Laser Igakkaishi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2530/jslsm.jslsm-42_0025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence for Diagnosing Colorectal Lesion
With the rapid advancement of artificial intelligence (AI) technology, a number of studies have been reported in the field of medical imaging. In particular, in the field of colonoscopy, AI-related research and development is rapidly progressing, and AI that has already been approved as a medical device is being introduced into daily clinical practice. In this paper, we review the research and approved AI related to colonoscopy and discuss the future prospects of this field.
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