Data from Air Force Medical University Advance Knowledge in Scoliosis (Application of Deep Learning to Diagnose and Classify Adolescent Idiopathic Scoliosis).

A recent report from Air Force Medical University discusses the development of a deep learning-based model for diagnosing and classifying adolescent idiopathic scoliosis. The model showed good diagnostic and classification performance, with an accuracy of 94.5% and excellent consistency in Cobb angle measurement. The researchers suggest that this model could potentially improve doctors' diagnostic efficiency in the future. [Extracted from the article]