Magnetic resonance imaging (MRI) is an indispensable medical imaging examination
technique in musculoskeletal medicine. Modern MRI techniques achieve superior high …

Background No investigations have thoroughly explored the feasibility of combining
magnetic resonance (MR) images and deep-learning methods for predicting the progression …

In the evolving landscape of medical diagnostics, a paradigm shift is being catalysed by the
advent of generative artificial intelligence. Medical X-ray, CT and MRI images are essential …

Osteoarthritis (OA), a prevalent degenerative joint disease, triggers significant global
impairment. Timely intervention relies on accurate early diagnosis. Recent advancements …

Osteoarthritis (OA) is the most common musculoskeletal disease, which has no cure. Knee
OA (KOA) is one of the highest causes of disability worldwide, and it costs billions of United …

Knee Osteoarthritis (KOA) is a highly prevalent chronic musculoskeletal condition with no
currently available treatment. The manifestation of KOA is heterogeneous and prediction of …

Knee osteoarthritis (KOA) is a common long-lasting ailment characterized by joint
degradation, impacting millions worldwide and posing significant challenges in early …

A survival analysis model for predicting time-to-total knee replacement (TKR) was
developed using features from medical images and clinical measurements. Supervised and …

Knee Osteoarthritis (KOA) stands as a prevalent chronic joint condition, impacting
individuals globally, especially the elderly. The imperative for timely detection and …

Purpose Accurately predicting the expected duration of time until total knee replacement
(time-to-TKR) is crucial for patient management and healthcare planning. Predicting when …