{"title":"远程医疗和人工智能在远程病人监护中的应用","authors":"Dhruvitkumar Talati","doi":"10.60087/jklst.vol2.n3.p255","DOIUrl":null,"url":null,"abstract":"This article explores how telemedicine, especially with the help of artificial intelligence (AI), is transforming healthcare. It covers its applications in monitoring patients, managing chronic diseases like diabetes, and improving cardiovascular care. The importance of wearable devices and non-invasive blood glucose monitoring is highlighted. The article emphasizes how AI-driven remote patient monitoring can enhance healthcare by providing early intervention, reducing hospitalizations, and offering personalized care","PeriodicalId":106651,"journal":{"name":"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","volume":"111 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Telemedicine and AI in Remote Patient Monitoring\",\"authors\":\"Dhruvitkumar Talati\",\"doi\":\"10.60087/jklst.vol2.n3.p255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article explores how telemedicine, especially with the help of artificial intelligence (AI), is transforming healthcare. It covers its applications in monitoring patients, managing chronic diseases like diabetes, and improving cardiovascular care. The importance of wearable devices and non-invasive blood glucose monitoring is highlighted. The article emphasizes how AI-driven remote patient monitoring can enhance healthcare by providing early intervention, reducing hospitalizations, and offering personalized care\",\"PeriodicalId\":106651,\"journal\":{\"name\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"volume\":\"111 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60087/jklst.vol2.n3.p255\",\"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 Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60087/jklst.vol2.n3.p255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article explores how telemedicine, especially with the help of artificial intelligence (AI), is transforming healthcare. It covers its applications in monitoring patients, managing chronic diseases like diabetes, and improving cardiovascular care. The importance of wearable devices and non-invasive blood glucose monitoring is highlighted. The article emphasizes how AI-driven remote patient monitoring can enhance healthcare by providing early intervention, reducing hospitalizations, and offering personalized care
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