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Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift
Joseph E Burns1, Jianhua Yao2, Ronald M Summers2
1Department of Radiological Sciences, University of California-Irvine School of Medicine, Orange, CA, USA.
Abstract:
Artificial intelligence is upending many of our assumptions about the ability of computers to detect and diagnose diseases on medical images. Deep learning, a recent innovation in artificial intelligence, has shown the ability to interpret medical images with sensitivities and specificities at or near that of skilled clinicians for some applications. In this review, we summarize the history of artificial intelligence, present some recent research advances, and speculate about the potential revolutionary clinical impact of the latest computer techniques for bone and muscle imaging. © 2019 American Society for Bone and Mineral Research. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
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