Machine Learning and Artificial Intelligence in Radiation Oncology - by Barry S Rosenstein & Tim Rattay & John Kang (Paperback)

Book Synopsis

**Selected for 2025 Doody's Core Titles(R) in Radiation Oncology**

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology.

Review Quotes

*4 stars* "...addresses the very timely topics of machine learning (ML) and artificial intelligence (AI).... [It] serve[s] as a guide for clinicians without technical expertise who desire a comprehensive introduction to the clinical research and application of ML and AI; certainly worthwhile objectives.... It gives an overview of key aspects of ML and AI to the large majority of individuals without deep knowledge of these topics.... [P]rimary audience is practicing radiation oncologists and medical physicists, but it will also be of interest to trainees in our field.... Each chapter includes a "Key Point" summary which, while generally helpful, is at times somewhat generic. [A] welcome addition to the radiation oncology literature.... [A] comprehensive in scope, delving into further details of interest to those seeking mastery of these subjects." --(c)Doody's Review Service, 2024, Mark D. Hurwitz, MD (New York Medical College)