A comprehensive survey on impact of applying various technologies on the internet of medical things

IF 13.9 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Shorouk E. El-deep, Amr A. Abohany, Karam M. Sallam, Amr A. Abd El-Mageed
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引用次数: 0

Abstract

This paper explores the transformative impact of the Internet of Medical Things (IoMT) on healthcare. By integrating medical equipment and sensors with the internet, IoMT enables real-time monitoring of patient health, remote patient care, and individualized treatment plans. IoMT significantly improves several healthcare domains, including managing chronic diseases, patient safety, and drug adherence, resulting in better patient outcomes and reduced expenses. Technologies like blockchain, Artificial Intelligence (AI), and cloud computing further boost IoMT’s capabilities in healthcare. Blockchain enhances data security and interoperability, AI analyzes massive volumes of health data to find patterns and make predictions, and cloud computing offers scalable and cost-effective data processing and storage. Therefore, this paper provides a comprehensive review of the Internet of Things (IoT) and IoMT-based edge-intelligent smart healthcare, focusing on publications published between 2018 and 2024. The review addresses numerous studies on IoT, IoMT, AI, edge and cloud computing, security, Deep Learning, and blockchain. The obstacles facing IoMT are also covered in this paper, including interoperability issues, regulatory compliance, and privacy and data security concerns. Finally, recommendations for further studies are provided.

综合调查各种技术应用对医疗物联网的影响
本文探讨了医疗物联网(IoMT)对医疗保健的变革影响。通过将医疗设备和传感器与互联网集成,IoMT实现了对患者健康状况的实时监控、远程患者护理和个性化治疗计划。IoMT显著改善了多个医疗保健领域,包括慢性病管理、患者安全和药物依从性,从而改善了患者的治疗效果并降低了费用。区块链、人工智能(AI)和云计算等技术进一步提升了IoMT在医疗保健领域的能力。区块链增强了数据安全性和互操作性,人工智能分析大量健康数据以发现模式并做出预测,云计算提供可扩展且具有成本效益的数据处理和存储。因此,本文对物联网(IoT)和基于iom的边缘智能智能医疗进行了全面回顾,重点关注2018年至2024年间发表的出版物。该评论涉及物联网、物联网、人工智能、边缘和云计算、安全、深度学习和区块链等领域的大量研究。本文还讨论了IoMT面临的障碍,包括互操作性问题、法规遵从性以及隐私和数据安全问题。最后,对今后的研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
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