This book provides a thorough overview of the ongoing evolution in the application of
artificial intelligence (AI) within healthcare and radiology enabling readers to gain a deeper
insight into the technological background of AI and the impacts of new and emerging
technologies on medical imaging. After an introduction on game changers in radiology such as
deep learning technology the technological evolution of AI in computing science and medical
image computing is described with explanation of basic principles and the types and subtypes
of AI. Subsequent sections address the use of imaging biomarkers the development and
validation of AI applications and various aspects and issues relating to the growing role of
big data in radiology. Diverse real-life clinical applications of AI are then outlined for
different body parts demonstrating their ability to add value to daily radiology practices.
The concluding section focuses on the impact of AI on radiology and the implications for
radiologists for example with respect to training. Written by radiologists and IT
professionals the book will be of high value for radiologists medical clinical physicists IT
specialists and imaging informatics professionals.
