Burns Joseph E, Yao Jianhua, Summers Ronald M
Department of Radiological Sciences, University of California-Irvine School of Medicine, Orange, CA, USA.
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
J Bone Miner Res. 2020 Jan;35(1):28-35. doi: 10.1002/jbmr.3849. Epub 2019 Aug 9.
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.
人工智能正在颠覆我们许多关于计算机检测和诊断医学图像中疾病能力的假设。深度学习是人工智能领域的一项最新创新，在某些应用中，它已展现出能够以与熟练临床医生相近或相当的敏感度和特异度来解读医学图像的能力。在本综述中，我们总结了人工智能的发展历程，介绍了一些近期的研究进展，并推测了最新计算机技术在骨骼和肌肉成像方面可能产生的革命性临床影响。© 2019美国骨与矿物质研究学会。2019年发表。本文属于美国政府作品，在美国处于公共领域。
