{"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}
引用次数: 0
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]