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Evolving role of AI and IoMT in the ...
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Al-Turjman, Fadi.
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Evolving role of AI and IoMT in the healthcare market
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Evolving role of AI and IoMT in the healthcare market/ edited by Fadi Al-Turjman ... [et al.].
其他作者:
Al-Turjman, Fadi.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
1 online resource (x, 281 p.) :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://doi.org/10.1007/978-3-030-82079-4
ISBN:
9783030820794
Evolving role of AI and IoMT in the healthcare market
Evolving role of AI and IoMT in the healthcare market
[electronic resource] /edited by Fadi Al-Turjman ... [et al.]. - Cham :Springer International Publishing :2021. - 1 online resource (x, 281 p.) :ill., digital ;24 cm.
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.
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. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.
ISBN: 9783030820794
Standard No.: 10.1007/978-3-030-82079-4doiSubjects--Topical Terms:
900591
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78 / E86 2021
Dewey Class. No.: 610.28563
Evolving role of AI and IoMT in the healthcare market
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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.
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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. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.
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