Development and Validation of a Joint Attention-Based Deep Learning System for Detection and Symptom Severity Assessment of Autism Spectrum Disorder.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: Joint attention, composed of complex behaviors, is an early-emerging social function that is deficient in children with autism spectrum disorder (ASD). Currently, no methods are available for objectively quantifying joint attention.

Authors

  • Chanyoung Ko
    Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea.
  • Jae-Hyun Lim
    LumanLab Inc, Seoul, South Korea.
  • JaeSeong Hong
    Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea.
  • Soon-Beom Hong
    Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Yu Rang Park
    Asan Medical Center, Seoul, Republic of Korea.