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

Link to Article in PubMed

PubMed ID

31991449

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