TY - JOUR
T1 - Automating autism assessment
T2 - What AI can bring to the diagnostic process
AU - Erden, Yasemin J.
AU - Hummerstone, Harriet
AU - Rainey, Stephen
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - autism
KW - diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85097612678&partnerID=8YFLogxK
U2 - 10.1111/jep.13527
DO - 10.1111/jep.13527
M3 - Article
C2 - 33331145
AN - SCOPUS:85097612678
VL - 27
SP - 485
EP - 490
JO - Journal of Evaluation in Clinical Practice
JF - Journal of Evaluation in Clinical Practice
SN - 1365-2753
IS - 3
ER -
