The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.

Journal: Soa--ch'ongsonyon chongsin uihak = Journal of child & adolescent psychiatry
Published Date: Oct 1, 2019

Abstract

OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics.

Authors

  • Da-Yea Song
    Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
  • So Yoon Kim
    Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Guiyoung Bong
    Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Jong Myeong Kim
    Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Hee Jeong Yoo
    Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.

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