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Evolving Role of AI and IoMT in the Healthcare Market
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Artikel-Nr:
9783030820794
Veröffentl:
2022
Einband:
eBook
Seiten:
281
Autor:
Fadi Al-Turjman
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.
This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.
Introduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.