잠시만 기다려 주세요. 로딩중입니다.

Artificial intelligence in musculoskeletal ultrasound imaging

Ultrasonography 2021년 40권 1호 p.30 ~ 44
신이랑, 양재문, 이영한, 김성준,
소속 상세정보
신이랑 ( Shin Yi-Rang ) - Yonsei University College of Medicine Department of Radiology
양재문 ( Yang Jae-Moon ) - Yonsei University College of Medicine Department of Radiology
이영한 ( Lee Young-Han ) - Yonsei University College of Medicine Department of Radiology
김성준 ( Kim Sung-Jun ) - Yonsei University College of Medicine Department of Radiology

Abstract


Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging that facilitates the rapid and dynamic assessment of musculoskeletal components. Significant technological improvements have contributed to the increasing adoption of US for musculoskeletal assessments, as artificial intelligence (AI)-based computer-aided detection and computer-aided diagnosis are being utilized to improve the quality, efficiency, and cost of US imaging. This review provides an overview of classical machine learning techniques and modern deep learning approaches for musculoskeletal US, with a focus on the key categories of detection and diagnosis of musculoskeletal disorders, predictive analysis with classification and regression, and automated image segmentation. Moreover, we outline challenges and a range of opportunities for AI in musculoskeletal US practice.

키워드

Ultrasonography; Musculoskeletal system; Artificial intelligence; Machine learning; Deep learning

원문 및 링크아웃 정보

등재저널 정보