Autism Spectrum Disorder

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Overview

Autism Spectrum Disorder research examines differences in communication, social interaction, sensory processing, movement, and brain function, as well as ways to support autistic people. Computational approaches include machine learning on brain scans, eye gaze, video, speech, gait, and wearable sensors; language and neuroscience studies also use interviews, behavioral tasks, and brain-signal measurements. AI systems are being explored for screening, behavioral assessment, early-risk prediction, and intervention support, with multimodal models, graph networks, and conversational agents among the main approaches. A key challenge is showing that results generalize across people, ages, clinics, and recording conditions while remaining calibrated, clinically useful, explainable, and respectful of autistic people’s varied experiences.

Latest papers

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37 papers4 papers in the last four weeks, down 20% on the four weeks before. 0.0% of all new papers.

  1. SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills

    Mar 28, 2026Albert TangAutism Spectrum DisorderLarge Language Model-Based Role-Play Simulation

  2. Graph Attention Network-Based Detection of Autism Spectrum Disorder

    Mar 27, 2026Abigail Kelly, Ramchandra Rimal, Arpan SainjuAutism Spectrum DisorderBrain Network Analysis

    Computational and Data Science, Middle Tennessee State University, 1301 E. Main St., Murfreesboro, 37132, TN, USA. · Department of Mathematical Sciences, Middle Tennessee State University, 1301 E. Main St., Murfreesboro, 37132, TN, USA.

  3. Human vs. NAO: A Computational-Behavioral Framework for Quantifying Social Orienting in Autism and Typical Development

    Mar 24, 2026Vartika Narayani Srinet, Anirudha Bhattacharjee, Braj Bhushan +1Autism Spectrum DisorderHuman-Robot Interaction

    1,2,4Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, U.P, India. · Department of Humanities and Social Sciences, Indian Institute of Technology Kanpur, Kanpur, 208016, U.P, India.

  4. Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning

    Mar 16, 2026Ansar Rahman, Hassan Shojaee-Mend, Sepideh HatamikiaMultimodal Graph LearningMultimodal Fusion

    Department of Medicine, Danube Private University (DPU), Krems, Austria · Department of Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria · Department of Medical Informatics, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran +1

  5. Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders

    Mar 14, 2026Jinlong Hu, Jiatong Huang, Zijian CaiDynamic Functional ConnectivityFunctional Connectivity

    Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

  6. InterventionLens: A Multi-Agent Framework for Detecting ASD Intervention Strategies in Parent-Child Shared Reading

    Mar 14, 2026Xiao Wang, Lu Dong, Ifeoma Nwogu +2Autism Spectrum DisorderTemporal Action Segmentation

    State University of New York at Buffalo, Buffalo, NY 14260, USA

  7. Beyond Anatomy: Explainable ASD Classification from rs-fMRI via Functional Parcellation and Graph Attention Networks

    Mar 3, 2026Syeda Hareem Madani, Noureen Bibi, Adam Rafiq Jeraj +3Autism Spectrum DisorderNeuroimaging

    Salim Habib University · VentureDive · National University of Computer and Emerging Sciences