| Literature DB >> 31601480 |
Geoff Currie1, K Elizabeth Hawk2, Eric Rohren3, Alanna Vial4, Ran Klein5.
Abstract
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to weave design solutions that accommodate ethical and regulatory requirements, and to craft AI-based algorithms that enhance outcomes, quality, and efficiency. Moreover, a more holistic perspective of applications, opportunities, and challenges from a programmatic perspective contributes to ethical and sustainable implementation of AI solutions.Entities:
Keywords: Medical imaging; artificial intelligence; artificial neural network; convolutional neural network; deep learning
Year: 2019 PMID: 31601480 DOI: 10.1016/j.jmir.2019.09.005
Source DB: PubMed Journal: J Med Imaging Radiat Sci ISSN: 1876-7982