This study evaluated the accuracy of automated deep learning software (Carebot AI Bones) for Cobb angle measurement, which is essential for diagnosing scoliosis. The results of measurement by two musculoskeletal radiologists and the measurement results of AI software were compared and analyzed for 103 anteroposterior spine radiographs collected from 10 hospitals. The performance of AI was evaluated using Bland-Altman analysis, mean absolute error (MAE), root mean square error (RMSE), Pearson correlation coefficient, and Cohen kappa coefficient, and it was reported that AI showed specialist-level performance in Cobb angle measurement and grading.