Involving artificial Intelligence in the assessment and diagnosis of Autism Spectrum Disorder

Abstract

This study used advanced artificial intelligence techniques, such as deep neural networks and natural language processing, to develop a comprehensive tool for accurately and efficiently assessing and diagnosing autism spectrum disorders. Deep learning models such as BERT and LSTM have proven their ability to improve the accuracy of autism diagnosis and assessment, helping to improve the quality of life of those affected.