Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

Over the past few decades, the substantial growth in enterprise-data availability and the
advancements in Artificial Intelligence (AI) have allowed companies to solve real-world …

The brain tumor is one of the deadliest diseases of all cancers. Influenced by the recent
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …

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 …

Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve
remission; however, some patients experience relapse. We aimed to predict relapse in RA …

Background and objectives Cartilage surface roughness has significant implications on joint
lubrication. However, the effects of the variability in surface roughness in different directions …

The article offers a survey of currently notable artificial intelligence methods (released
between 2019-2023), with a particular emphasis on the latest advancements in detecting …

Gout is a common metabolic disorder characterized by deposits of monosodium urate
monohydrate crystals (tophi) in soft tissue, triggering intense and acute arthritis with …

Introduction Computer vision extracts meaning from pixelated images and holds promise in
automating various clinical tasks. Convolutional neural networks (CNNs), a deep learning …

Ultrasound (US) has been widely used in daily clinical practice for screening internal organs
and guiding interventions. However, due to the acoustic shadow cast by the subcutaneous …