Journal article
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
- Hirschmann A Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
- Cyriac J Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
- Stieltjes B Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
- Kober T Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
- Richiardi J Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
- Omoumi P Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
- 2019-06-05
Published in:
- Seminars in musculoskeletal radiology. - 2019
Artificial Intelligence
Humans
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Musculoskeletal Diseases
Musculoskeletal System
Radiology
English
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a brief technical background on AI, machine learning, and deep learning, we illustrate, through examples from the musculoskeletal literature, potential AI applications in the various steps of the radiologist's workflow, from managing the request to communication of results. The implementation of AI solutions does not go without challenges and limitations. These are also discussed, as well as the trends and perspectives.
- Language
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- English
- Open access status
- closed
- Identifiers
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- DOI 10.1055/s-0039-1684024
- PMID 31163504
- Persistent URL
- https://folia.unifr.ch/global/documents/125011
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