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


Butt H. A., Ahad A., Wasim M., Madeira F., Chamran M. K.

9th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023, Leiria, Portugal, 18 - 20 October 2023, vol.556 LNICST, pp.107-123 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 556 LNICST
  • Doi Number: 10.1007/978-3-031-52524-7_8
  • City: Leiria
  • Country: Portugal
  • Page Numbers: pp.107-123
  • Keywords: 5G, AI, artificial intelligence, intelligent healthcare, Internet of Things, IoT, machine learning, remote patient monitoring, smart healthcare facilities, telemedicine
  • Istanbul Technical University Affiliated: No

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.