Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups
Kato S
Maeda Y
Nagura T
Abstract：Spinal deformity is a common orthopedic disease, among which adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD) pose significant risks. AIS is commonly seen in adolescents aged 10 to 17, with a prevalence rate of 0.47% to 5.2%. Severe cases (curves >100°) are at significant risk of impaired pulmonary function. ASD has a prevalence rate of up to 68% in people over 60 years old, often causing back pain, neurological symptoms, and progression of deformity due to imbalance in spinal structure. Cobb angle measurement is the gold standard for assessing spinal deformity, but the accuracy and reproducibility of manual measurement highly depend on the operator's experience and judgment, with intra-observer errors of 3°–5° and inter-observer errors of 5°–7°, necessitating an accurate automated measurement solution.
Machine-generated Keywords：
Publication Date：2025-06-15
Online Publishing Date：2025-12-19(First online date of this platform, not the publication date of the document)
Pages：1( 226 )