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Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems

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Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems Synopsis

The expansion of telehealth services is enabling healthcare professionals to consult, diagnose, advise or perform tasks remotely, enabling them to treat more patients in their own homes or consult on cases on the other side of the world. The security of sensitive user information is critical to effective and efficient delivery of healthcare services. Artificial intelligence (AI) and blockchain technology are identified as key drivers of emerging telehealth systems, enabling efficient delivery of telehealth services to billions of patients globally. Specifically, AI facilitates the processing and analysis of complex telehealth data, and blockchain technology offers decentralised, transparent, traceable, reliable, trustful, and provable security to telehealth systems.

This edited book reviews security and privacy issues in traditional telehealth systems and focuses on the technical considerations, potential opportunities and critical challenges currently inhibiting the adoption of AI and blockchain in telehealth systems. The book presents case studies which highlight critical lessons and considers the prospects and societal benefits of AI and blockchain, while providing suitable recommendations for designing future AI and blockchain-based telehealth systems.

Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems is suited to researchers and computer engineers working in healthcare delivery, telemedicine, cybersecurity, data science, AI/ML and those in related fields.

About This Edition

ISBN: 9781839538636
Publication date: 30th January 2024
Author: Agbotiname Lucky Imoize, Chandrashekhar Meshram, Joseph Bamidele Awotunde, DinhThuan Do
Publisher: Institution of Engineering and Technology an imprint of The Institution of Engineering and Technology
Format: Hardback
Pagination: 738 pages
Series: Healthcare Technologies
Genres: Medical and health informatics
Telemedicine
Distributed ledger technology / blockchain
Machine learning
Digital and information technologies: Health and safety aspects
Digital and information technologies: social and ethical aspects
Applied computing