Digital phenotyping could help detect autism
- PMID: 37798439
- PMCID: PMC10799608
- DOI: 10.1038/s41591-023-02557-4
Digital phenotyping could help detect autism
Abstract
Researchers have developed a screening tool for autism that uses computer vision and machine learning to analyze autism-related behaviors – but greater reliability and robust validation will be needed if such tools are to be used in primary care settings.
Conflict of interest statement
Competing interests
C.L. reports royalties from Western Psychological Services for diagnostic instruments, including the Autism Diagnostic Observation Schedule (ADOS), the Autism Diagnostic Interview-Revised (ADI-R) and the Social Communication Questionnaire (SCQ). She is also on the scientific advisory boards or projects for Tilray, Roche, Gateway, Springtide and Greenwich Biosciences. R.B.W. declares no competing interests.
References
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- APA Task Force on Psychological Assessment and Evaluation Guidelines https://go.nature.com/467abZC (2020).
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- Siu AL JAMA 315, 691–696 (2016). - PubMed
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