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AI for Radiology
AI for Radiology
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- More about AI for Radiology
AI has revolutionized radiology, enhancing patient care and streamlining professional workflows. This book reviews, explains, and contextualizes AI and deep learning developments in radiology and medical image analysis, emphasizing their augmentation of radiologists' capabilities and ethical considerations. It is a valuable resource for medical professionals, computer scientists, and anyone interested in the intersection of healthcare and technology.
Format: Hardback
Length: 214 pages
Publication date: 12 February 2024
Publisher: Taylor & Francis Ltd
Artificial intelligence (AI) has brought about a transformative impact in various domains of medicine, and its adoption is on the rise. This comprehensive book delves into the indispensable role of AI in radiology, shedding light on its potential to enhance patient care and streamline professional workflows.
In this book, we explore, explain, and contextualize some of the most cutting-edge, practical, and relevant advancements in artificial intelligence and deep learning in radiology and medical image analysis. Our objective is to provide a balanced perspective on the impact of AI in these fields, emphasizing that AI technologies are meant to augment radiologists' capabilities rather than replace them. This book serves as a guide for readers, taking them from the fundamental principles of AI to its practical applications in radiology, covering topics such as the role of data in AI, ethical and regulatory considerations, and a selection of resources for further exploration.
Designed with a diverse readership in mind, this book is a valuable resource for medical professionals seeking to stay abreast of AI developments, computer scientists interested in AI's clinical applications, and anyone intrigued by the intersection of healthcare and technology.
Weight: 594g
Dimension: 198 x 129 (mm)
ISBN-13: 9780367627782
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