Автор: Patrick Siarry, M. A. Jabbar, Rajanikanth Aluvalu
Издательство: Springer
Год: 2021
Страниц: 270
Язык: английский
Формат: pdf (true), epub
Размер: 36.8 MB
This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.
Internet of medical things (IoMT) is derived from Internet of things (IoT), which is related and used to develop and define devices that are connected to the Internet, with communication power, highlighting one of its main characteristics of IoT in the exchange of information. IoT is closely related to companies and their maximization of production and services, through the improvement of results and revenues, improving the performance of a given system and maximizing the connectivity between machines and people. Thus, IoT makes it possible for all objects to be connected to each other over the Internet, representing the connection between the physical world and the constant transmission of virtual data.
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