
Artificial Intelligence in Medical Physics
CRC Press
1st Edition
Will be published approx. on 22. July 2026
Book
Hardback
184 pages
978-1-041-19878-9 (ISBN)
Description
Artificial Intelligence (AI) is transforming the landscape of medical imaging, radiation oncology, and healthcare decision-making, bringing both exciting opportunities and important challenges. This book brings together experts from around the world to examine exactly how AI is transforming the field of medical physics and enhancing patient care.
Chapters explore AI-driven advancements in diagnostic imaging, where algorithms enhance image quality while potentially reducing patient dose. They also discuss automated treatment planning and robust dose calculation in radiotherapy, alongside real-time adaptive techniques that respond to anatomical changes.
However, this book consciously goes beyond just reviewing these cutting-edge technologies. It considers the evolving landscape of ethical frameworks, the necessity for new competencies and educational pathways for the workforce, and the critical issues of data governance, algorithm transparency, and accountability.
This book is a valuable guide for medical physicists and related disciplines including radiologists, radiographers, medical engineers, hospital managers, and academic scholars working in the field of healthcare.
Key features:
? Focuses on an extremely hot topic and fills a niche in current resources.
? Shares practical guidance and experience from some of the world's leading experts.
? Discusses the latest advancements of how AI is being utilized in medical physics, including in diagnostic imaging and radiotherapy.
Chapters explore AI-driven advancements in diagnostic imaging, where algorithms enhance image quality while potentially reducing patient dose. They also discuss automated treatment planning and robust dose calculation in radiotherapy, alongside real-time adaptive techniques that respond to anatomical changes.
However, this book consciously goes beyond just reviewing these cutting-edge technologies. It considers the evolving landscape of ethical frameworks, the necessity for new competencies and educational pathways for the workforce, and the critical issues of data governance, algorithm transparency, and accountability.
This book is a valuable guide for medical physicists and related disciplines including radiologists, radiographers, medical engineers, hospital managers, and academic scholars working in the field of healthcare.
Key features:
? Focuses on an extremely hot topic and fills a niche in current resources.
? Shares practical guidance and experience from some of the world's leading experts.
? Discusses the latest advancements of how AI is being utilized in medical physics, including in diagnostic imaging and radiotherapy.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional Reference
Illustrations
3 farbige Abbildungen, 1 s/w Photographie bzw. Rasterbild, 12 Farbfotos bzw. farbige Rasterbilder, 2 s/w Zeichnungen, 3 farbige Zeichnungen, 5 s/w Tabellen, 15 s/w Abbildungen
5 Tables, black and white; 3 Line drawings, color; 2 Line drawings, black and white; 12 Halftones, color; 1 Halftones, black and white; 3 Illustrations, color; 15 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-041-19878-9 (9781041198789)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

John Damilakis | Eva Bezak | Magdalena S. Stoeva
Artificial Intelligence in Medical Physics
Book
approx. 07/2026
1st Edition
CRC Press
€66.00
Not yet published
John Damilakis | Eva Bezak | Magdalena S. Stoeva
Artificial Intelligence in Medical Physics
E-Book
approx. 07/2026
1st Edition
CRC Press
€69.99
Not yet available
John Damilakis | Eva Bezak | Magdalena S. Stoeva
Artificial Intelligence in Medical Physics
E-Book
approx. 07/2026
1st Edition
CRC Press
€69.99
Not yet available
Persons
Prof. John Damilakis, PhD, FIOMP, FIUPESM, is a full professor and chairman at the Department of Medical Physics, School of Medicine, University of Crete and director of the Department of Medical Physics of the University Hospital of Heraklion, Crete, Greece. He is President of the 'International Organization for Medical Physics' (IOMP), 2022-2025, Past President of the 'European Alliance for Medical Radiation Protection Research' (EURAMED), Past President of the 'European Federation of Organizations for Medical Physics' (EFOMP) and Past President of the 'Hellenic Association of Medical Physics'. He is a coordinator and an active research member of several European and national projects.
Prof. Eva Bezak, PhD, FIOMP, FIUPESM, is a Professor at the University of South Australia (UNISA). She has an MSc in Medical Physics (University of Adelaide) and a PhD in Nuclear Physics (Australian National University). From 2006 till 2015 she was a Chief Physicist at the Royal Adelaide Hospital responsible for services provision to radiation oncology in South Australia and has been a regular contributor in the Medical Radiation Program at the University of South Australia for a number of years. She was appointed a Professor at the University of South Australia in 2015. She is the current president of IOMP and immediate past president of AFOMP. In 2025 she was elected a Fellow of the Australian Academy of Technological Sciences & Engineering.
Prof. Dipl. Ing. Magdalena S. Stoeva, PhD, FIOMP, FIUPESM, FISC is a Professor in Diagnostic Imaging at the Medical University of Plovdiv, Bulgaria. She has broad professional experience in various academic institutions - Technical University, Medical University, International Medical Physics Center and the ICTP with responsibilities related to the various aspects of medical physics, engineering and healthcare. Her activities are directed towards the professional development of medical physicists, incl. educational strategies, workplace balance, promoting and supporting science for early career and the LMICs, e-learning, emerging technology. She is also the Secretary General for the 'International Organization for Medical Physics' (IOMP), 2022-2028.
Prof. Eva Bezak, PhD, FIOMP, FIUPESM, is a Professor at the University of South Australia (UNISA). She has an MSc in Medical Physics (University of Adelaide) and a PhD in Nuclear Physics (Australian National University). From 2006 till 2015 she was a Chief Physicist at the Royal Adelaide Hospital responsible for services provision to radiation oncology in South Australia and has been a regular contributor in the Medical Radiation Program at the University of South Australia for a number of years. She was appointed a Professor at the University of South Australia in 2015. She is the current president of IOMP and immediate past president of AFOMP. In 2025 she was elected a Fellow of the Australian Academy of Technological Sciences & Engineering.
Prof. Dipl. Ing. Magdalena S. Stoeva, PhD, FIOMP, FIUPESM, FISC is a Professor in Diagnostic Imaging at the Medical University of Plovdiv, Bulgaria. She has broad professional experience in various academic institutions - Technical University, Medical University, International Medical Physics Center and the ICTP with responsibilities related to the various aspects of medical physics, engineering and healthcare. Her activities are directed towards the professional development of medical physicists, incl. educational strategies, workplace balance, promoting and supporting science for early career and the LMICs, e-learning, emerging technology. She is also the Secretary General for the 'International Organization for Medical Physics' (IOMP), 2022-2028.
Content
Chapter 1. AI vs. Human Expertise in X-ray Dosimetry.
Chapter 2. Artificial Intelligence in Radiation Oncology.
Chapter 3. Innovating Medical Physics Education with Artificial Intelligence.
Chapter 4. AI and its Ethical and Legal Implications in Medical Physics.
Chapter 5. Potential of AI on Nuclear Medicine Imaging and Therapy.
Chapter 2. Artificial Intelligence in Radiation Oncology.
Chapter 3. Innovating Medical Physics Education with Artificial Intelligence.
Chapter 4. AI and its Ethical and Legal Implications in Medical Physics.
Chapter 5. Potential of AI on Nuclear Medicine Imaging and Therapy.