{"title":"人工智能驱动糖尿病护理","authors":"Aishwarya Sadagopan","doi":"10.56570/jimgs.v2i1.92","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI), a technology reshapinghealthcare, is used to investigate, gather data and drawconclusions from electronic medical records andimaging procedures. AI has been shown to aid inidentifying, categorizing, diagnosing, and managingdiabetic mellitus [1]. It will likely continue to do so witha clear understanding and the ability to find previouslyunidentified solutions [2]. AI has a role in diabeteshelping to anticipate the diagnosis, provide nutritionand exercise goals, monitor complications, and assistwith self-management [7]. We may now see themanagement of diabetes and other chronic diseasesfrom a new viewpoint thanks to the expanded use ofcontinuous glucose monitoring and the identification ofpatterns in glucose fluctuation known as glucosevariability [3]. It has paved the way for in-depthresearch into the many new factors that affectmanaging diabetes such as socio-economic factors,sleep, and activity [1,2]","PeriodicalId":315163,"journal":{"name":"Journal For International Medical Graduates","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Driving Diabetes Care\",\"authors\":\"Aishwarya Sadagopan\",\"doi\":\"10.56570/jimgs.v2i1.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI), a technology reshapinghealthcare, is used to investigate, gather data and drawconclusions from electronic medical records andimaging procedures. AI has been shown to aid inidentifying, categorizing, diagnosing, and managingdiabetic mellitus [1]. It will likely continue to do so witha clear understanding and the ability to find previouslyunidentified solutions [2]. AI has a role in diabeteshelping to anticipate the diagnosis, provide nutritionand exercise goals, monitor complications, and assistwith self-management [7]. We may now see themanagement of diabetes and other chronic diseasesfrom a new viewpoint thanks to the expanded use ofcontinuous glucose monitoring and the identification ofpatterns in glucose fluctuation known as glucosevariability [3]. It has paved the way for in-depthresearch into the many new factors that affectmanaging diabetes such as socio-economic factors,sleep, and activity [1,2]\",\"PeriodicalId\":315163,\"journal\":{\"name\":\"Journal For International Medical Graduates\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal For International Medical Graduates\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56570/jimgs.v2i1.92\",\"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 For International Medical Graduates","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56570/jimgs.v2i1.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence (AI), a technology reshapinghealthcare, is used to investigate, gather data and drawconclusions from electronic medical records andimaging procedures. AI has been shown to aid inidentifying, categorizing, diagnosing, and managingdiabetic mellitus [1]. It will likely continue to do so witha clear understanding and the ability to find previouslyunidentified solutions [2]. AI has a role in diabeteshelping to anticipate the diagnosis, provide nutritionand exercise goals, monitor complications, and assistwith self-management [7]. We may now see themanagement of diabetes and other chronic diseasesfrom a new viewpoint thanks to the expanded use ofcontinuous glucose monitoring and the identification ofpatterns in glucose fluctuation known as glucosevariability [3]. It has paved the way for in-depthresearch into the many new factors that affectmanaging diabetes such as socio-economic factors,sleep, and activity [1,2]