Exploring the Impact of Edge Intelligence and IoT on Healthcare: A Comprehensive Survey

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI:10.1109/ICSCSS57650.2023.10169733

R. Punugoti, V. Dutt, Abhineet Anand, Neha Bhati

{"title":"Exploring the Impact of Edge Intelligence and IoT on Healthcare: A Comprehensive Survey","authors":"R. Punugoti, V. Dutt, Abhineet Anand, Neha Bhati","doi":"10.1109/ICSCSS57650.2023.10169733","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) will disrupt medicine the most. Healthcare uses edge computing, deep learning, IoT, and machine learning for real-time analytics, monitoring, and data analysis. This research will evaluate, expand, overcome difficulties, and improve IoT-based healthcare systems. The article explores healthcare IoT and edge computing’s benefits and drawbacks. Edge computing can improve healthcare delivery, cost, and results, according to the authors. Researchers offer wearable sensors, smart health gateways, early warning score health monitoring, and artificial intelligence case studies. The authors evaluate edge computing’s enabling technologies, applications, and obstacles in healthcare and provide solutions. Existing research lack solid empirical evaluation, hyper-specialization in one healthcare field, and inadequate study of hurdles and difficulties. This research also includes various IoT services, utilization rate graphs, major drivers driving edge-IoT operations graph, IoT adoption graph, and recent Medicare technologies diagram.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCSS57650.2023.10169733","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

The Internet of Things (IoT) will disrupt medicine the most. Healthcare uses edge computing, deep learning, IoT, and machine learning for real-time analytics, monitoring, and data analysis. This research will evaluate, expand, overcome difficulties, and improve IoT-based healthcare systems. The article explores healthcare IoT and edge computing’s benefits and drawbacks. Edge computing can improve healthcare delivery, cost, and results, according to the authors. Researchers offer wearable sensors, smart health gateways, early warning score health monitoring, and artificial intelligence case studies. The authors evaluate edge computing’s enabling technologies, applications, and obstacles in healthcare and provide solutions. Existing research lack solid empirical evaluation, hyper-specialization in one healthcare field, and inadequate study of hurdles and difficulties. This research also includes various IoT services, utilization rate graphs, major drivers driving edge-IoT operations graph, IoT adoption graph, and recent Medicare technologies diagram.

查看原文本刊更多论文

探索边缘智能和物联网对医疗保健的影响:一项综合调查

物联网(IoT)将最大程度地颠覆医疗行业。医疗保健使用边缘计算、深度学习、物联网和机器学习进行实时分析、监控和数据分析。这项研究将评估、扩展、克服困难，并改进基于物联网的医疗系统。本文探讨了医疗保健物联网和边缘计算的优点和缺点。根据作者的说法，边缘计算可以改善医疗保健服务、成本和结果。研究人员提供可穿戴传感器、智能健康网关、早期预警评分健康监测和人工智能案例研究。作者评估了边缘计算在医疗保健中的支持技术、应用和障碍，并提供了解决方案。现有研究缺乏扎实的实证评价，过于专业化，对障碍和困难的研究不足。本研究还包括各种物联网服务、利用率图、驱动边缘物联网运营的主要驱动因素图、物联网采用图和最近的医疗保险技术图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)

自引率

0.00%

发文量