Ultrasonography (US) has become a valuable imaging tool for the examination of the
musculoskeletal system. It provides important diagnostic information and it can also be very …

Purpose To systematically review the use of artificial intelligence (AI) in musculoskeletal
(MSK) ultrasound (US) with an emphasis on AI algorithm categories and validation …

Objective The aim of this literature review is to yield a comprehensive and exhaustive
overview of the existing evidence and up-to-date applications of artificial intelligence for …

The number of total knee arthroplasties performed worldwide is on the rise. Patient-specific
planning and implants may improve surgical outcomes but require 3-D models of the bones …

Ultrasound imaging is widely used for the clinical assessment and study of musculoskeletal
tissues because of its capacity for real-time imaging, low cost, high availability and …

Deep learning automation of medical image analysis is highly desirable for purposes
including organ/tissue segmentation and disease detection. However, deep learning …

Computer-assisted orthopedic surgery requires precise representations of bone surfaces. To
date, computed tomography constitutes the gold standard, but comes with a number of …

Background Accurate delineation of knee bone boundaries is crucial for computer-aided
diagnosis (CAD) and effective treatment planning in knee diseases. Current methods often …

Background Rotator cuff injuries and tears are common causes of shoulder pain and
dysfunction, necessitating accurate diagnostic methods to guide clinical decision-making …

Osteoarthritis is a degenerative joint disease that commonly affects the elderly population.
The Kellgren-Lawrence grading system serves as the benchmark for evaluating OA severity …