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Cited by 348

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare

Open access
Alshehri, Fatima, Muhammad, Ghulam·2021·IEEE Access

Abstract

Smart health care is an important aspect of connected living. Health care is one of the basic pillars of human need, and smart health care is projected to produce several billion dollars in revenue in the near future. There are several components of smart health care, including the Internet of Things (IoT), the Internet of Medical Things (IoMT), medical sensors, artificial intelligence (AI), edge computing, cloud computing, and next-generation wireless communication technology. Many papers in the literature deal with smart health care or health care in general. Here, we present a comprehensive survey of IoT- and IoMT-based edge-intelligent smart health care, mainly focusing on journal articles published between 2014 and 2020. We survey this literature by answering several research areas on IoT and IoMT, AI, edge and cloud computing, security, and medical signals fusion. We also address current research challenges and offer some future research directions.

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Crossref · 10.1109/access.2020.3047960

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Metadata

Authors
Alshehri, F., & Muhammad, G.
Venue
IEEE Access
Published
2021
Volume
9
Pages
3660-3678
ISSN
2169-3536 (ISSN-L)
OpenAlex
W3117109798
Cited by
348
References
114
FWCI
37.42
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare. https://app.cochat.ai/papers/10.1109/access.2020.3047960
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Alshehri, F., & Muhammad, G. (2021). A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare. IEEE Access. https://doi.org/10.1109/access.2020.3047960

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.