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Artificial intelligence/machine learning in nuclear medicine and hybrid imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence/machine learning in nuclear medicine and hybrid imagingedited by Patrick Veit-Haibach, Ken Herrmann.
other author:	Veit-Haibach, Patrick.
Published:	Cham :Springer International Publishing :2022.
Description:	xiv, 210 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-3-031-00119-2
ISBN:	9783031001192$q(electronic bk.)

Artificial intelligence/machine learning in nuclear medicine and hybrid imaging
Artificial intelligence/machine learning in nuclear medicine and hybrid imaging[electronic resource] /edited by Patrick Veit-Haibach, Ken Herrmann. - Cham :Springer International Publishing :2022. - xiv, 210 p. :ill. (chiefly color), digital ;24 cm.

This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.

ISBN: 9783031001192$q(electronic bk.)

Standard No.: 10.1007/978-3-031-00119-2doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A77 2022

Dewey Class. No.: 610.28563

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520 $a This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.
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