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Handbook of artificial intelligence in biomedical engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of artificial intelligence in biomedical engineeringeditied by Saravanan Krishnan ... [et al.].
其他作者:	Saravanan, Krishnan,
出版者:	Palm Bay, FL :Apple Academic Press ;2021.
面頁冊數:	1 online resource.
標題:	Artificial intelligenceMedical applications.
電子資源:	https://www.taylorfrancis.com/books/9781003045564
ISBN:	9781003045564$q(ebook)

Handbook of artificial intelligence in biomedical engineering
Handbook of artificial intelligence in biomedical engineering[electronic resource] /editied by Saravanan Krishnan ... [et al.]. - 1st ed. - Palm Bay, FL :Apple Academic Press ;2021. - 1 online resource. - Biomedical engineering : techniques and applications. - Biomedical engineering (Apple Academic Press).

Includes bibliographical references and index.

"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"--

ISBN: 9781003045564$q(ebook)Subjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28

Handbook of artificial intelligence in biomedical engineering
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245 0 0 $a Handbook of artificial intelligence in biomedical engineering $h [electronic resource] / $c editied by Saravanan Krishnan ... [et al.].
250 $a 1st ed.
260 $a Palm Bay, FL : $b Apple Academic Press ; $a Boca Raton, FL : $b CRC Press, $c 2021.
300 $a 1 online resource.
490 1 $a Biomedical engineering : techniques and applications
504 $a Includes bibliographical references and index.
520 $a "Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"-- $c Provided by publisher.
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650 0 $a Artificial intelligence $x Medical applications. $3 237917
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