MCBERT: A Multi-Modal Deep Learning Framework for Autism Spectrum Disorder Diagnosis

Researchers developed MCBERT, a machine learning architecture combining BERT language models with multi-head convolutional neural networks to improve ASD diagnosis by integrating multiple data types including brain imaging. The model achieved 93.4% accuracy on the ABIDE-I dataset using leave-one-site-out validation.