Method, apparatus, and computer program for providing precocious puberty prediction and solution for each growth stage using artificial intelligence

A method for providing precocious puberty prediction and solution for each growth stage using artificial intelligence, the method being performed by one or more processors of a computer system and comprising:

• receiving time series physical information on an evaluation subject;
• classifying, by a growth stage determination module executed on the computer system, a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information corresponding to a normal growth stage among the plurality of growth stages;
• predicting precocious puberty by inputting the extracted physical information corresponding to the normal growth stage and an estimated bone maturity value generated by a bone maturity prediction model to a trained neural network stored in a memory and executed on the computer system, the trained neural network including a first neural network model trained with normal growth stage time-series physical information and a second neural network model trained with bone maturity data, such that an output of the second neural network model is provided as an input to the first neural network model;
• and
• providing a precocious puberty management solution based on the physical information on the evaluation subject when the evaluation subject corresponds to the precocious puberty,
• wherein the predicting comprises considering a difference between physical information of the evaluation subject and physical information corresponding to a normal growth stage so as to improve prediction accuracy for precocious puberty,
• wherein the precocious puberty management solution is determined differently for each of the plurality of growth stages based on the physical information on the evaluation subject,
• wherein the precocious puberty management solution is output through a user interface,
• wherein the method accurately predicts the precocious puberty by considering the plurality of growth stages of the evaluation subject through the neural network generated through artificial intelligence learning and provides solutions necessary to prevent the precocious puberty based on the accurate growth stage of the evaluation subject,
• wherein the predicting and providing are performed through a computer-implemented multi-model inference pipeline configured to improve computational accuracy and processing efficiency of the computer system, and
• wherein the second neural network model derives bone maturity from a carpal image using a convolutional neural network trained with the bone maturity data of the evaluation subject as training data, and the convolutional neural network includes a plurality of convolution layers that creates a feature map for features in an image to be analyzed among carpal images.