From brain scans to classifiers: A systematic review of ML-based autism diagnostic frameworks - Top-Institutions - MDSpire

From brain scans to classifiers: A systematic review of ML-based autism diagnostic frameworks

  • By

  • Naveed Ur Rehman Ahmed

  • Ayesha Tajammul

  • Afzal Badshah

  • Muhammad Saad

  • Abdulrahman Ahmed Gharawi

  • Ammar Almutawa

  • Sakher Ghanem

  • Ali Daud

  • June 27, 2026

  • 0 min

Share

Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill

    Chapel Hill, North Carolina

    Key Differentiators

    • Psychiatry
    • Neuroimaging
    • Machine Learning

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, California

    Key Differentiators

    • Psychiatry
    • Neuroimaging
    • Machine Learning

Original Source(s)

From brain scans to classifiers: A systematic review of ML-based autism diagnostic frameworks

  • by Naveed Ur Rehman Ahmed, Ayesha Tajammul, Afzal Badshah, Muhammad Saad, Abdulrahman Ahmed Gharawi, Ammar Almutawa, Sakher Ghanem, Ali Daud

  • June 27, 2026

Related Content

Successful bilateral electroconvulsive therapy for catatonia presenting with novel climbing behavior in an adolescent with CACNA1A pathogenic variant and autism spectrum disorder: a case report

A bibliometric analysis of neuroimaging studies on cognitive control in autism spectrum disorder (2000–2025)

Do Suicide Efforts for Autism Start Too Late?

A UK survey identifies priorities for suicide prevention, highlighting the need for earlier support, improved diagnostic access, and community-informed services.