Scoliosis Detection

Scoliosis detection research focuses on developing accurate and efficient methods for identifying and classifying spinal curvature, aiming to improve early diagnosis and treatment. Current efforts leverage advanced image analysis techniques, including deep learning models (like convolutional neural networks and graph neural networks) applied to X-ray images and video-based gait analysis, to automate the process and reduce reliance on time-consuming manual assessments. These advancements offer the potential for faster, more accessible, and less invasive scoliosis screening, ultimately improving patient outcomes and reducing healthcare burdens.