The purpose of this review was to evaluate data generated by animal models of
intervertebral disc (IVD) degeneration published in the last decade and show how this has …

Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral
components of modern healthcare, offering new avenues for diagnosis, treatment, and …

Medical students learning to use artificial intelligence for medical practices is likely to
enhance medical services. However, studies in this area have been lacking. The present …

The habenula has been implicated in the pathogenesis of pain and analgesia, while
evidence concerning its function in chronic low back pain (cLBP) is sparse. This study aims …

Natural Language Processing (NLP) is a discipline at the intersection between Computer
Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human …

More than 600 million people globally are estimated to be living with chronic pain. It is one of
the most common complaints seen in an outpatient setting, with over half of patients …

Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and
treatment of a variety of diseases and conditions. However, the process is time-consuming …

Although liver ultrasound (US) is quick and convenient, it presents challenges due to patient
variations. Previous research has predominantly focused on computer-aided diagnosis …

Abstract 3D reconstruction for lumbar spine based on segmentation of Magnetic Resonance
(MR) images is meaningful for diagnosis of degenerative lumbar spine diseases. However …

Degenerative diseases of the lumbar spine, such as spondylolisthesis, disc degeneration,
and lumbar spinal stenosis, are major contributors to global disability. Accurate classification …