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5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches—A Review

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Smart Objects and Technologies for Social Good (GOODTECHS 2023)

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Abstract

New opportunities for AI-powered healthcare systems have emerged thanks to the integration of 5G wireless technology, the Internet of Things (IoT), and AI. This article presents a comprehensive analysis of the current state and future prospects of artificial intelligence (AI) and machine learning (ML) applications in the healthcare sector, with a particular emphasis on their integration with 5G and IoT. Remote patient monitoring, telemedicine, and smart healthcare facilities are just some of the advantages of merging 5G with IoT in healthcare that we address. We also investigate how 5G and IoT-enabled intelligent healthcare systems might benefit from AI and machine learning. We take a look at how 5G and IoT may work together with AI and machine learning algorithms for real-time monitoring, data collection, and processing. Privacy and security worries, interoperability issues, and ethical considerations are only some of the obstacles and future approaches discussed in this study. This paper aims to analyze the existing literature on 5G and IoT applications in healthcare with the objective of identifying future research directions and providing insights into the current state of these technologies.

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Acknowledgment

This work is funded by national funds through FCT - Foundation for Science and Technology, I.P., under project UIDP/04019/2020.

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Management and Technology, Sialkot, 51040, Pakistan

    Hira Akhtar Butt, Abdul Ahad & Muhammad Wasim

  2. School of Software, Northwestern Polytechnical University, Xian, 710072, Shaanxi, People’s Republic of China

    Abdul Ahad

  3. Department of Electronics and Communication Engineering, Istanbul Technical University (ITU), 34467, İstanbul, Turkey

    Abdul Ahad

  4. Department of Informatics and Quantitative Methods, Research Centre for Arts and Communication (CIAC)/Pole of Digital Literacy and Social Inclusion, Polytechnic Institute of Santarém, 2001-904, Santarem, Portugal

    Filipe Madeira

  5. Department of Information and Technology, City University, Menara City U, No. 8, Jalan, 51A/223, Petaling Jaya, Malaysia

    M. Kazem Chamran

Authors
  1. Hira Akhtar Butt
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  2. Abdul Ahad
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  3. Muhammad Wasim
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  4. Filipe Madeira
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  5. M. Kazem Chamran
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Corresponding authors

Correspondence to Abdul Ahad or Filipe Madeira .

Editor information

Editors and Affiliations

  1. Polytechnic University of Leiria, Leiria, Portugal

    Paulo Jorge Coelho

  2. Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal

    Ivan Miguel Pires

  3. Polytechnic University of Leiria, Leiria, Portugal

    Nuno Vieira Lopes

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Butt, H.A., Ahad, A., Wasim, M., Madeira, F., Chamran, M.K. (2024). 5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches—A Review. In: Coelho, P.J., Pires, I.M., Lopes, N.V. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 556. Springer, Cham. https://doi.org/10.1007/978-3-031-52524-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-52524-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-52523-0

  • Online ISBN: 978-3-031-52524-7

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