Over the last few decades, computer-aided diagnosis systems have become a part of clinical
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …

Artificial intelligence techniques, specifically deep learning, have already affected daily life
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …

Background Deep learning applied to ultrasound (US) can provide a feedback to the
sonographer about the correct identification of scanned tissues and allows for faster and …

Microrobots (MRs) have attracted growing interest for their potentialities in diagnosis and
noninvasive intervention in hard-to-reach body areas. The safe operation of biomedical MRs …

This study aims at high-frequency ultrasound image quality assessment for computer-aided
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …

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

The field of artificial intelligence (AI) in medicine has evolved dramatically over the past
decade, paving the way for ground-breaking innovation. Recently, the potentiality of AI in …

Objective To develop an artificial intelligence (AI) model able to perform both segmentation
of hand joint ultrasound images for osteophytes, bone, and synovium and perform …

Abstract Purpose of Review This paper aims to review the currently available ultrasound
imaging technologies in musculoskeletal studies by showcasing recent representative works …

Abstract The coronavirus disease 2019 (COVID-19) pandemic has accelerated changes to
rheumatology daily clinical practice. The main goal of the 12th International Immunology …