Exploring the impact of edge intelligence and iot on healthcare: a comprehensive survey

R Punugoti, V Dutt, A Anand… - … on Sustainable Computing …, 2023 - ieeexplore.ieee.org
R Punugoti, V Dutt, A Anand, N Bhati
2023 International Conference on Sustainable Computing and Smart …, 2023ieeexplore.ieee.org
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 …
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.
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