Prediction of hand‐wrist maturation stages based on cervical vertebrae images using artificial intelligence

Abstract

Prediction of hand-wrist SMI based on CV images is possible using machine learning methods. Chronological age and sex increased the prediction accuracy. An automated diagnosis of the skeletal maturation may aid as a decision-supporting tool for evaluating the optimal treatment timing for growing patients.