This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Since the past decade, the interest towards more precise and efficient healthcare techniques
with special emphasis on diagnostic techniques has increased. Artificial Intelligence has …

Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense
pain and disability. These conditions lead to 30 million emergency room visits yearly, and …

The fracture of the elbow is common in human beings. The complex structure of the elbow,
including its irregular shape, border, etc., makes it difficult to correctly recognize elbow …

Ultrasound (US) is often used to diagnose liver masses. Ensemble learning has recently
been commonly used for image classification, but its detailed methods are not fully …

Transcranial direct current stimulation (tDCS) is a promising adjuvant treatment for persistent
auditory verbal hallucinations (AVH) in Schizophrenia (SZ). Nonetheless, there is …

Generalisation across multiple tasks is a major challenge in deep learning for medical
imaging applications, as it can cause a catastrophic forgetting problem. One commonly …

Purpose A two‐stage deep learning framework for bone classification and abnormality
detection is proposed based on X‐rays. The primary focus is on improving the speed of …

Orthopaedic diseases, which affect millions of people globally, present significant diagnostic
challenges, often leading to long-term disability and chronic pain. There is an ongoing …