Autism Spectrum Disorder
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in social interaction, communication, and repetitive behaviors, necessitating improved diagnostic and therapeutic approaches. Current research heavily utilizes machine learning, employing diverse model architectures such as transformers, graph neural networks, and convolutional neural networks, to analyze multimodal data including fMRI scans, video recordings of social interactions, and speech patterns. These efforts aim to create objective, efficient diagnostic tools and personalized interventions, ultimately improving the lives of individuals with ASD and informing a deeper understanding of the disorder's neurological underpinnings.
Papers
Weakly-supervised Autism Severity Assessment in Long Videos
Abid Ali, Mahmoud Ali, Jean-Marc Odobez, Camilla Barbini, Séverine Dubuisson, Francois Bremond, Susanne Thümmler
Application of Artificial Intelligence in Supporting Healthcare Professionals and Caregivers in Treatment of Autistic Children
Hossein Mohammadi Rouzbahani, Hadis Karimipour