Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks

✍ Scribed by Erik R. Ranschaert, Sergey Morozov, Paul R. Algra

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 369
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xv
Front Matter ....Pages 1-1
Introduction: Game Changers in Radiology (Sergey Morozov, Erik Ranschaert, Paul Algra)....Pages 3-5
Front Matter ....Pages 7-7
The Role of Medical Image Computing and Machine Learning in Healthcare (Frederik Maes, David Robben, Dirk Vandermeulen, Paul Suetens)....Pages 9-23
A Deeper Understanding of Deep Learning (Bart M. ter Haar Romeny)....Pages 25-38
Deep Learning and Machine Learning in Imaging: Basic Principles (Bradley J. Erickson)....Pages 39-46
Front Matter ....Pages 47-47
How to Develop Artificial Intelligence Applications (Angel Alberich-Bayarri, Ana Jiménez Pastor, Rafael López González, Fabio García Castro)....Pages 49-59
A Standardised Approach for Preparing Imaging Data for Machine Learning Tasks in Radiology (Hugh Harvey, Ben Glocker)....Pages 61-72
The Value of Structured Reporting for AI (Daniel Pinto dos Santos)....Pages 73-82
Artificial Intelligence in Medicine: Validation and Study Design (Luke Oakden-Rayner, Lyle John Palmer)....Pages 83-104
Front Matter ....Pages 105-105
Enterprise Imaging (Peter Mildenberger)....Pages 107-117
Imaging Biomarkers and Imaging Biobanks (Angel Alberich-Bayarri, Emanuele Neri, Luis Martí-Bonmatí)....Pages 119-126
Front Matter ....Pages 127-127
Applications of AI Beyond Image Interpretation (José M. Morey, Nora M. Haney, Woojin Kim)....Pages 129-143
Artificial Intelligence and Computer-Assisted Evaluation of Chest Pathology (Edwin J. R. van Beek, John T. Murchison)....Pages 145-166
Cardiovascular Diseases (Johan Verjans, Wouter B. Veldhuis, Gustavo Carneiro, Jelmer M. Wolterink, Ivana Išgum, Tim Leiner)....Pages 167-185
Deep Learning in Breast Cancer Screening (Hugh Harvey, Andreas Heindl, Galvin Khara, Dimitrios Korkinof, Michael O’Neill, Joseph Yearsley et al.)....Pages 187-215
Neurological Diseases (Nathaniel Swinburne, Andrei Holodny)....Pages 217-230
The Role of AI in Clinical Trials (Irene Mayorga-Ruiz, Ana Jiménez-Pastor, Belén Fos-Guarinos, Rafael López-González, Fabio García-Castro, Ángel Alberich-Bayarri)....Pages 231-243
Front Matter ....Pages 245-245
Quality and Curation of Medical Images and Data (Peter M. A. van Ooijen)....Pages 247-255
Does Future Society Need Legal Personhood for Robots and AI? (Robert van den Hoven van Genderen)....Pages 257-290
The Role of an Artificial Intelligence Ecosystem in Radiology (Bibb Allen, Robert Gish, Keith Dreyer)....Pages 291-327
Advantages, Challenges, and Risks of Artificial Intelligence for Radiologists (Erik R. Ranschaert, André J. Duerinckx, Paul Algra, Elmar Kotter, Hans Kortman, Sergey Morozov)....Pages 329-346
Back Matter ....Pages 347-373

✦ Subjects

Medicine & Public Health; Imaging / Radiology; Information Systems and Communication Service; Health Informatics