Automating autism assessment
What AI can bring to the diagnostic process
Journal Article
(2021)
Authors
Yasemin J. Erden (University of Twente)
Harriet Hummerstone (Priory Lodge School)
Stephen Rainey (University of Oxford)
Affiliation
External organisation
To reference this document use:
https://doi.org/10.1111/jep.13527
TU Delft Repository resolver:
https://resolver.tudelft.nl/b324fa2d-0faa-4649-8a92-5c82da4dd720
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Publication Year
2021
Language
English
Affiliation
External organisation
Issue number
3
Volume number
27
Pages (from-to)
485-490
DOI:
https://doi.org/10.1111/jep.13527
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.
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