Title
The Use of Artificial Intelligence in the Evaluation of Knee Pathology
UMMS Affiliation
Division of Musculoskeletal Imaging and Intervention, Department of Radiology
Publication Date
2020-02-01
Document Type
Article
Disciplines
Artificial Intelligence and Robotics | Radiology
Abstract
Artificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic evaluation of knee pathology. Experimental algorithms have already been developed that can assess the severity of knee osteoarthritis from radiographs, detect and classify cartilage lesions, meniscal tears, and ligament tears on magnetic resonance imaging, provide automatic quantitative assessment of tendon healing, detect fractures on radiographs, and predict those at highest risk for recurrent bone tumors. This article reviews and summarizes the most current literature.
Keywords
artificial intelligence, magnetic resonance imaging, deep learning, knee
DOI of Published Version
10.1055/s-0039-3400264
Source
Garwood ER, Tai R, Joshi G, Watts V GJ. The Use of Artificial Intelligence in the Evaluation of Knee Pathology. Semin Musculoskelet Radiol. 2020 Feb;24(1):21-29. doi: 10.1055/s-0039-3400264. Epub 2020 Jan 28. PMID: 31991449. Link to article on publisher's site
Journal/Book/Conference Title
Seminars in musculoskeletal radiology
Related Resources
PubMed ID
31991449
Repository Citation
Garwood ER, Tai R, Joshi G, Watts GJ. (2020). The Use of Artificial Intelligence in the Evaluation of Knee Pathology. Radiology Publications. https://doi.org/10.1055/s-0039-3400264. Retrieved from https://escholarship.umassmed.edu/radiology_pubs/600