The Radiology Ai Handbook PAPERBACK 9780323877602
Elsevier - Health Sciences Division
The Radiology AI HandbookAuthor(s): Adam E.M. Eltorai, James M. Hillis, Rajat Chand, Sudhen B. Desai, Katherine P. Andriole\nFormat: Paperback\nPublisher: Elsevier - Health Sciences Division, United States\nImprint: Elsevier - Health Sciences Division\nISBN-13: 9780323877602, 978-0323877602\nSynopsis\n**Selected for 2026 Doody's Core Titles in Diagnostic Radiology**\n\nArtificial intelligence has the potential to transform many areas of medicine and is already a growing factor in the field of radiology. The Radiology AI Handbook offers the current, authoritative information you need in order to better understand AI and how to incorporate it into your daily practice. Written by clinical and computer science experts in AI, this book provides a comprehensive overview of the fundamental concepts, technology, research/development/validation, and regulatory considerations for current and emerging radiology AI applications in each subspecialty.\n\nOffers an indispensable introduction to thie
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