Deep learning diagnosis plus kinematic severity assessments of neurodivergence

Summary

Researchers have developed a deep learning system that combines diagnostic analysis with kinematic assessments to better identify and evaluate the severity of neurodivergent conditions. This approach leverages AI to improve accuracy and objectivity in neurodivergence diagnosis, highlighting the growing potential of machine learning in personalized healthcare and neurological assessment.