脊椎ジャーナル

Multi-angle View of the Intervertebral Disc in Deep Learning-based Intelligent Diagnosis of Lumbar Diseases

Abstract

Kaisi Wang

Lumbar diseases, including herniated discs, degenerative disc disease, and spinal stenosis, are prevalent conditions that cause significant morbidity worldwide. Accurate diagnosis of these conditions is critical for effective treatment planning and patient outcomes. Traditional imaging techniques, such as magnetic resonance imaging and computed tomography, are essential diagnostic tools but rely heavily on the expertise of radiologists. The integration of deep learning into medical imaging has the potential to revolutionize the diagnosis of lumbar diseases, providing enhanced accuracy and efficiency. This article explores the application of deep learning in the multi-angle analysis of intervertebral discs for the intelligent diagnosis of lumbar diseases.