Artificial Intelligence in Medical Imaging

Opportunities, Applications and Risks

Erik R. Ranschaert, Sergey Morozov, Paul R. Algra (Herausgeber)

Buch | Hardcover

XV, 373 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-319-94877-5 (ISBN)

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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 implicationsfor 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.

Dr Erik R. Ranschaert, MD, PhD, is currently radiologist at the ETZ Hospital in Tilburg, the Netherlands, and vice-president of the European Society of Medical Imaging Informatics (EuSoMII). Dr. Ranschaert was trained in radiology at KU Leuven University Hospital in Belgium and graduated in 1994. On July 14th 2016 he was awarded a PhD in Medical Sciences at the University of Antwerp, with a thesis titled: "The Impact of Information Technology on Radiology Services". He is certified as Imaging Informatics Professional by the ABII in 2017. He was chairman of the ECR Computer Applications Subcommittee in 2008 and member of the ESR eHealth and informatics subcommittee in 2014 - 2016. He is the first author or co-author of more than 20 peer-reviewed articles and he gave more than 40 lectures on invitation, most topics related to his thesis and imaging informatics.

PART I: INTRODUCTION: Introduction: Game changers in radiology.- PART II: TECHNIQUES: The role of medical imaging computing, informatics and machine learning in healthcare.- History and evolution of A.I. in medical imaging.- Deep Learning and Neural Networks in imaging: basic principles.- PART III DEVELOPMENT of AI APPLICATIONS: Imaging biomarkers.- How to develop A.I. applications.- Validation of A.I. applications.- PART IV: BIG DATA IN RADIOLOGY: The value of enterprise imaging.- Data mining in radiology.- Image biobanks.- The quest for medical images and data.- Clearance of medical images and data.- Legal and ethical issues in AI.- PART V: CLINICAL USE OF A.I. IN RADIOLOGY: Pulmonary diseases.- Cardiac diseases.- Breast cancer.- Neurological diseases.- PART VI: IMPACT of A.I. on RADIOLOGY: Applications of A.I. beyond image analysis.- Value of structured reporting for A.I..- The role of A.I. for clinical trials.- Market and economy of A.I.: evolution.- The role of an A.I. ecosystem for radiology.- Advantages and risks of A.I. for radiologists.- Re-thinking radiology.

"The book seems practical and interesting for newcomers to the feld and also experts. This book covers a range of introductory to advanced issues of AI and can respond well to the concerns of researchers. The presented examples ... prepare the ground for familiarity with the research process and future research trends in this feld. Based on the reviews, we can recommend this book to researchers as a desirable book as a gateway to enter this feld." (Shahabedin Nabavi and Mohammad Mohammadi, Physical and Engineering Sciences in Medicine, Vol. 44, 2021)

“The book seems practical and interesting for newcomers to the feld and also experts. This book covers a range of introductory to advanced issues of AI and can respond well to the concerns of researchers. The presented examples … prepare the ground for familiarity with the research process and future research trends in this feld. Based on the reviews, we can recommend this book to researchers as a desirable book as a gateway to enter this feld.” (Shahabedin Nabavi and Mohammad Mohammadi, Physical and Engineering Sciences in Medicine, Vol. 44, 2021)

Erscheinungsdatum	04.02.2019
Zusatzinfo	XV, 373 p. 104 illus., 81 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	178 x 254 mm
Gewicht	831 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren ► Radiologie
	Technik
Schlagworte	Artificial Intelligence in Medical Imaging • Artificial Intelligence in Radiology • Big Data in Radiology • Data Mining in Radiology • Deep Learning in Medical Imaging • Image Biobanks • Imaging biomarkers • Machine Learning in Medical Imaging • Medical Imaging Computing • Medical imaging informatics • Techniques for AI in Medical Imaging
ISBN-10	3-319-94877-6 / 3319948776
ISBN-13	978-3-319-94877-5 / 9783319948775
Zustand	Neuware