Validation of an AI model for bone age assessment in children and adolescents for the development of a multimodal diagnostic platform

Objective. To conduct a comprehensive validation of the developed artificial intelligence model for bone age assessment using hand and wrist radiographs in children and adolescents. Materials and methods. Training a convolutional neural network for bone age regression (in months) using a dataset of hand and wrist radiographs from children and adolescents. Results. The mean absolute error (MAE) of…