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自动化自闭症评估:人工智能在诊断过程中的作用。

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

机构信息

Department of Philosophy, University of Twente, Enschede, The Netherlands.

Head of Teaching and Learning, Priory Lodge School, London, UK.

出版信息

J Eval Clin Pract. 2021 Jun;27(3):485-490. doi: 10.1111/jep.13527. Epub 2020 Dec 16.

DOI:10.1111/jep.13527
PMID:33331145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8246862/
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.

摘要

本文探讨了人工智能 (AI) 在自闭症谱系障碍 (ASD,以下简称自闭症) 诊断中的应用。在这样做的过程中,我们检查了现有的诊断过程和标准中存在的一些问题,包括偏见和解释问题,以及“双重同理心问题”等概念。然后,我们考虑了 AI 的新应用如何为这些背景做出贡献。我们特别关注成人诊断程序,因为儿童诊断已经在文献中得到很好的涵盖。

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本文引用的文献

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Living with autism without knowing: receiving a diagnosis in later life.不知不觉中与自闭症相伴:在晚年才获得诊断。
Health Psychol Behav Med. 2019 Nov 6;7(1):348-361. doi: 10.1080/21642850.2019.1684920.
2
Machine Learning to Study Social Interaction Difficulties in ASD.机器学习用于研究自闭症谱系障碍中的社交互动困难
Front Robot AI. 2019 Nov 29;6:132. doi: 10.3389/frobt.2019.00132. eCollection 2019.
3
Personalized machine learning for robot perception of affect and engagement in autism therapy.用于机器人在自闭症治疗中感知情感和参与度的个性化机器学习。
Sci Robot. 2018 Jun 27;3(19). doi: 10.1126/scirobotics.aao6760.
4
The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.人工智能在自闭症谱系障碍筛查与诊断中的应用:文献综述
Soa Chongsonyon Chongsin Uihak. 2019 Oct 1;30(4):145-152. doi: 10.5765/jkacap.190027.
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Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.多模块人工智能方法简化幼儿自闭症诊断
Sci Rep. 2020 Mar 19;10(1):5014. doi: 10.1038/s41598-020-61213-w.
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Will artificial intelligence eventually replace psychiatrists?人工智能最终会取代精神科医生吗?
Br J Psychiatry. 2021 Mar;218(3):131-134. doi: 10.1192/bjp.2019.245.
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A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.基于 EEG 的脑机接口分类算法综述:10 年更新。
J Neural Eng. 2018 Jun;15(3):031005. doi: 10.1088/1741-2552/aab2f2. Epub 2018 Feb 28.
8
Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.机器学习在自闭症谱系障碍行为研究中的应用:综述与展望。
Inform Health Soc Care. 2019 Sep;44(3):278-297. doi: 10.1080/17538157.2017.1399132. Epub 2018 Feb 13.
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An international qualitative study of functioning in autism spectrum disorder using the World Health Organization international classification of functioning, disability and health framework.使用世界卫生组织国际功能、残疾和健康分类框架对自闭症谱系障碍进行的一项国际定性研究。
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The Interrater Reliability of the Autism Diagnostic Interview-Revised (ADI-R) in Clinical Settings.《自闭症诊断访谈修订版(ADI-R)在临床环境中的评分者间信度》
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