Journal of Spine

Multi-angle Intervertebral Disc View in Intelligent Lumbar Disease Diagnosis Using Deep Learning

Abstract

Peter Eda

The diagnosis of lumbar spine disorders has evolved considerably over the past few decades, owing largely to the integration of advanced imaging techniques and artificial intelligence. Among the various lumbar spine diseases, intervertebral disc degeneration, herniation, and other degenerative conditions are among the most prevalent, often leading to chronic pain, impaired mobility, and even disability. Traditionally, diagnosing such conditions relied heavily on clinical examination and static imaging, such as X-rays and magnetic resonance imaging. However, these methods alone can sometimes fail to provide sufficient insights, especially when the disc’s condition is subtle or difficult to assess from a single perspective. In this context, the advent of multi-angle intervertebral disc imaging combined with deep learning techniques has opened new avenues for more accurate, automated, and efficient diagnosis of lumbar diseases.