Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift.
Joseph E BurnsJianhua YaoRonald M SummersPublished in: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research (2019)
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.
Keyphrases
- artificial intelligence
- deep learning
- big data
- convolutional neural network
- machine learning
- healthcare
- high resolution
- bone mineral density
- palliative care
- soft tissue
- skeletal muscle
- mental health
- emergency department
- risk assessment
- climate change
- postmenopausal women
- mass spectrometry
- electronic health record
- acute care