{"title":"医疗物联网:概述与未来","authors":"Shen Yuong Wong, Mian Yu Soh, Jie Ming Wong","doi":"10.1109/SCOReD53546.2021.9652784","DOIUrl":null,"url":null,"abstract":"Internet of Medical Things (IoMT) combined with technologies, i.e., Internet of Things (IoT) and Artificial Intelligence (AI), allow machine-to-machine communication when they are connected with a wireless network. Advancement in IOMT has lighten medical staff's work with faster and high accuracy of disease diagnosis. In this paper, we provide a short review on latest advances of IoMT. We identify the challenges that hinder the wide adoption of IoMT, such as the high infrastructure cost, data security threats, strain on existing networks, regulatory challenges, data challenges, and uni-task orientation of weak AI. We also discuss the prospects of IoMT to inform future research, in an effort to contribute to achieving the Sustainable Development Goal (SDGs) advocated by the United Nation, essentially SDG3: Good Health and Wellbeing, and SDG9: Industry, Innovation and Infrastructure.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"98 1","pages":"427-432"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Internet of Medical Things:Brief Overview and the Future\",\"authors\":\"Shen Yuong Wong, Mian Yu Soh, Jie Ming Wong\",\"doi\":\"10.1109/SCOReD53546.2021.9652784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internet of Medical Things (IoMT) combined with technologies, i.e., Internet of Things (IoT) and Artificial Intelligence (AI), allow machine-to-machine communication when they are connected with a wireless network. Advancement in IOMT has lighten medical staff's work with faster and high accuracy of disease diagnosis. In this paper, we provide a short review on latest advances of IoMT. We identify the challenges that hinder the wide adoption of IoMT, such as the high infrastructure cost, data security threats, strain on existing networks, regulatory challenges, data challenges, and uni-task orientation of weak AI. We also discuss the prospects of IoMT to inform future research, in an effort to contribute to achieving the Sustainable Development Goal (SDGs) advocated by the United Nation, essentially SDG3: Good Health and Wellbeing, and SDG9: Industry, Innovation and Infrastructure.\",\"PeriodicalId\":6762,\"journal\":{\"name\":\"2021 IEEE 19th Student Conference on Research and Development (SCOReD)\",\"volume\":\"98 1\",\"pages\":\"427-432\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 19th Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCOReD53546.2021.9652784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCOReD53546.2021.9652784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Internet of Medical Things:Brief Overview and the Future
Internet of Medical Things (IoMT) combined with technologies, i.e., Internet of Things (IoT) and Artificial Intelligence (AI), allow machine-to-machine communication when they are connected with a wireless network. Advancement in IOMT has lighten medical staff's work with faster and high accuracy of disease diagnosis. In this paper, we provide a short review on latest advances of IoMT. We identify the challenges that hinder the wide adoption of IoMT, such as the high infrastructure cost, data security threats, strain on existing networks, regulatory challenges, data challenges, and uni-task orientation of weak AI. We also discuss the prospects of IoMT to inform future research, in an effort to contribute to achieving the Sustainable Development Goal (SDGs) advocated by the United Nation, essentially SDG3: Good Health and Wellbeing, and SDG9: Industry, Innovation and Infrastructure.