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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.1900729


Auxiliary diagnostic system for ADHD in children based on AI technology


Author(s):  Yan-yi ZHANG, Ming KONG, Wen-chen HONG, Tian-qi ZHAO, Di XIE, Chun-mao WANG, Rong-wang YANG, Rong LI, Qiang ZHU

Affiliation(s):  Department Of Child Psychology, The Children’ more

Corresponding email(s):   zjukongming@zju.edu.cn, zhuq@zju.edu.cn

Key Words:  ADHD, Auxiliary diagnosis, Computer vision, Deep learning, BERT


Yan-yi ZHANG, Ming KONG, Wen-chen HONG, Tian-qi ZHAO, Di XIE, Chun-mao WANG, Rong-wang YANG, Rong LI, Qiang ZHU. Auxiliary diagnostic system for ADHD in children based on AI technology[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900729"
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Abstract: 
Traditional ADHD in children’s diagnosis is primarily through a questionnaire filled out by parents/ teachers, and clinical observations by doctors. It is inefficient and heavily depends on the doctor’s level of experience. This paper integrates AI technology into a coordinated system with a software-hardware to make ADHD diagnosis more efficient. Together with the intelligent analysis module, the camera group will collect the eye focus, facial expression, 3D body posture, and other children’s information during the completion of the functional test. And then, a multi-modal deep learning model is proposed to classify abnormal behavior fragments of children from capture videos. In combination with other system modules, we automatically generate standardized diagnostic reports that include test results, abnormal behavior analysis, diagnostic aid conclusions, and treatment recommendations. This system has participated in clinical diagnosis in the department of psychology, Children’s Hospital of Zhejiang University Medical College, and has been accepted and praised by doctors and patients.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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