Aim Diagnostic imaging is an integral part of identifying spondyloarthropathies (SpA), yet the
interpretation of these images can be challenging. This review evaluated the use of deep …

Diagnostic delay (DD) is associated with poor radiological and quality of life outcomes in
axial spondyloarthritis (ax-SpA) and ankylosing spondylitis (AS). The female (F) population …

While solar energy holds great significance as a clean and sustainable energy source,
photovoltaic panels serve as the linchpin of this energy conversion process. However …

Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that
prominently affects young adults due to its debilitating nature. The pathogenesis of the …

The musculoskeletal system plays a crucial role in our daily lives, and the accurate
diagnosis of musculoskeletal issues is essential for providing effective healthcare. However …

Artificial intelligence technologies have significant potential to advance the diagnosis and
treatment of axSpA, providing more accurate, efficient and personalized healthcare …

Background Axial spondyloarthritis (axSpA) is frequently diagnosed late, particularly in
human leukocyte antigen (HLA)-B27-negative patients, resulting in a missed opportunity for …

Diagnostic imaging, particularly MRI, plays a key role in the evaluation of many spine
pathologies. Recent progress in artificial intelligence and its subset, machine learning, has …

In the medical field, ankylosing spondylitis (AS) is arthritis with symptoms that differs from
person to person and takes a long time to evaluate. For predicting radiographic progression …

Abstract Background and Objectives Machine Learning (ML) and Deep Learning (DL) are
novel technologies that can facilitate early diagnosis of Ankylosing Spondylitis (AS) and …