The Radiology AI Handbook
Author: Athulya Ajith, Adam E.M. Eltorai, James M. Hillis, Rajat Chand, Sudhen B. Desai
Affiliation:
Publisher: Elsevier Health Sciences
Publication Date: 2026
ISBN 10: 0323877613
ISBN 13: 9780323877619
Edition: 1st Edition
Affiliation:
Publisher: Elsevier Health Sciences
Publication Date: 2026
ISBN 10: 0323877613
ISBN 13: 9780323877619
Edition: 1st Edition
Description:
**Selected for 2026 Doody's Core Titles in Diagnostic Radiology**
Artificial 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.
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