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Artificial Intelligence in Medical Imaging

Opportunities, Applications and Risks

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

Artificial Intelligence in Medical Imaging

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Book Description

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.

This open book is licensed under a Creative Commons License (CC BY). You can download Artificial Intelligence in Medical Imaging ebook for free in PDF format (10.9 MB).

Book Details

Title
Artificial Intelligence in Medical Imaging
Subject
Medical
Publisher
Springer
Published
2019
Pages
369
Edition
1
Language
English
ISBN13
9783319948775
ISBN10
3319948776
ISBN13 Digital
9783319948782
ISBN10 Digital
3319948784
PDF Size
10.9 MB
License
CC BY

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