Journal of Developmental Medicine(Electronic Version)  2026, Vol. 14 Issue (1): 58-64 DOI: 10.3969/j.issn.2095-5340.2026.01.009 |
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Research progress of machine learning in early screening and diagnosis of autism spectrum disorder:
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| Chang Jia, Meng Fanchao, Zheng Yi,et al
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Beijing Key Laboratory of Mental Disorders, the National Clinical Research Center for Mental Disorders , Department of Paediatrics, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
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Abstract
【Abstract】 Autism spectrum disorder (ASD) is a neurodevelopmental disorder that often occurs early in
life. The global consensus of the disease is that the more early detection and intervention, the more significant the rehabilitation effect, the better the prognosis in the later stage. However, the current commonly used screening and diagnostic scale evaluation methods have certain limitations and subjectivity, which may lead to misdiagnosis or missed diagnosis. With the rapid development of machine learning, the medical field has also increased the exploration of intelligence, and it is gradually possible to use machine learning for early screening of ASD, increasing the objectivity and credibility of diagnosis. This paper reviews the applications of machine learning in early screening and diagnosis of ASD, with the aim of providing a reference for intelligent approaches for early screening and intervention for children with ASD in China.
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Received: 08 August 2024
Published: 05 February 2026
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