Clinical Artificial Intelligence Applications: Musculoskeletal

Simukayi Mutasa; Paul H Yi

doi:10.1016/j.rcl.2021.07.011

Clinical Artificial Intelligence Applications: Musculoskeletal

Radiol Clin North Am. 2021 Nov;59(6):1013-1026. doi: 10.1016/j.rcl.2021.07.011.

Authors

Simukayi Mutasa¹, Paul H Yi²

Affiliations

¹ Department of Diagnostic Radiology, Division of Musculoskeletal Imaging, Thomas Jefferson University Medical Center, 111 South 11th Street, Third Floor, Philadelphia, PA 19107, USA. Electronic address: stmutasa@gmail.com.
² Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Intelligent Imaging Center, University of Maryland School of Medicine, 22 South Greene Street, First Floor, Baltimore, MD 21201, USA.

PMID: 34689870
DOI: 10.1016/j.rcl.2021.07.011

Abstract

We present an overview of current clinical musculoskeletal imaging applications for artificial intelligence, as well as potential future applications and techniques.

Keywords: Artificial intelligence; Bone; Clinical applications; Deep learning; Joint; Machine learning; Musculoskeletal; Sports imaging.

Publication types

Review

MeSH terms

Artificial Intelligence*
Diagnostic Imaging / methods*
Humans
Image Interpretation, Computer-Assisted / methods*
Musculoskeletal Diseases / diagnostic imaging*
Musculoskeletal System / diagnostic imaging