This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook.This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.

Euclid Seeram was formerly the Program Head of the Medical Imaging Degree and Magnetic Resonance Imaging Post Diploma Programs at the British Columbia Institute of Technology, where he worked for 38 years serving the Medical Imaging Education and Clinical Practice Communities.

AI AI Applications in Image Processing and Analysis AI Challenges AI Trends Applications of AI in medical imaging Artificial Intelligence CAD Computer-Aided Detection Disease Detection and Classification Ethical AI Radiology ML Machine Learning clinical decision support deep learning