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Review
. 2024 Sep 11;14(18):2008.
doi: 10.3390/diagnostics14182008.

Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases

Affiliations
Review

Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases

Soichi Hattori et al. Diagnostics (Basel). .

Abstract

Ultrasound imaging is a vital imaging tool in musculoskeletal medicine, with the number of publications on ultrasound-guided surgery increasing in recent years, especially in minimally invasive procedures of sports, foot and ankle, and hand surgery. However, ultrasound imaging has drawbacks, such as operator dependency and image obscurity. Artificial intelligence (AI) and deep learning (DL), a subset of AI, can address these issues. AI/DL can enhance screening practices for hip dysplasia and osteochondritis dissecans (OCD) of the humeral capitellum, improve diagnostic accuracy for carpal tunnel syndrome (CTS), and provide physicians with better prognostic prediction tools for patients with knee osteoarthritis. Building on these advancements, DL methods, including segmentation, detection, and localization of target tissues and medical instruments, also have the potential to allow physicians and surgeons to perform ultrasound-guided procedures more accurately and efficiently. This review summarizes recent advances in ultrasound-guided procedures for musculoskeletal diseases and provides a comprehensive overview of the utilization of AI/DL in ultrasound for musculoskeletal medicine, particularly focusing on ultrasound-guided surgery.

Keywords: artificial intelligence; deep learning; musculoskeletal ultrasound; radiomics; ultrasound-guided surgery.

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Conflict of interest statement

The authors declare no conflicts of interest in the writing of the manuscript.

Figures

Figure 1
Figure 1
Flowchart depicting the literature search methodology for ultrasound-guided surgery in musculoskeletal disease.
Figure 2
Figure 2
Summary of Ultrasound-guided and -assisted surgery for targeted pathologies. MSK, musculoskeletal; US, ultrasound; CHL, coracohumeral ligament; LHB, long head of biceps; AT, Achilles tendon.
Figure 3
Figure 3
Flowchart depicting the literature search methodology for artificial intelligence and musculoskeletal ultrasound.
Figure 4
Figure 4
Summary of AI/DL applications in musculoskeletal ultrasound. AI/DL, artificial intelligence/deep learning; MSK, musculoskeletal; OCD, osteochondritis dissecans; TFCC, triangular fibrocartilage complex.

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