Purpose We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …

Purpose Knee osteoarthritis (OA) is a common disease that impairs knee function and
causes pain. Radiologists usually review knee X-ray images and grade the severity of the …

A fully-automated deep learning algorithm matched performance of radiologists in
assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence …

OBJECTIVE: Radiographic interpretation suffers from an ever-increasing workload in
orthopedic and radiology departments. The present study applied and assessed the …

Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using
the 0–4 Kellgren Lawrence (KL) grading system where 0 is normal, 1 shows doubtful signs …

Purpose To develop an automated model for staging knee osteoarthritis severity from
radiographs and to compare its performance to that of musculoskeletal radiologists …

Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …

Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is
currently conducted by assessing symptoms and evaluating plain radiographs, but this …

BACKGROUND Deep learning, a form of artificial intelligence, has shown promising results
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …

Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …