Automating autism assessment: What AI can bring to the diagnostic process

Yasemin J. Erden*, Harriet Hummerstone, Stephen Rainey

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
20 Downloads (Pure)

Abstract

This paper examines the use of artificial intelligence (AI) for the diagnosis of autism spectrum disorder (ASD, hereafter autism). In so doing we examine some problems in existing diagnostic processes and criteria, including issues of bias and interpretation, and on concepts like the ‘double empathy problem’. We then consider how novel applications of AI might contribute to these contexts. We're focussed specifically on adult diagnostic procedures as childhood diagnosis is already well covered in the literature.

Original languageEnglish
Pages (from-to)485-490
Number of pages6
JournalJournal of evaluation in clinical practice
Volume27
Issue number3
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • UT-Hybrid-D
  • autism
  • diagnosis
  • artificial intelligence

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