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Automating autism assessment: What AI can bring to the diagnostic process
Author(s) -
Erden Yasemin J.,
Hummerstone Harriet,
Rainey Stephen
Publication year - 2021
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1111/jep.13527
Subject(s) - autism , empathy , autism spectrum disorder , psychology , interpretation (philosophy) , diagnostic test , process (computing) , diagnostic accuracy , cognitive science , computer science , artificial intelligence , psychiatry , cognitive psychology , medicine , pediatrics , radiology , programming language , operating system
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.