Auxiliary diagnostic system for ADHD in children based on AI technology
| Autor: | Zhang Yanyi, Di Xie, Ming Kong, Qiang Zhu, Rongwang Yang, Zhao Tianqi, Hong Wenchen, Li Rong, Chunmao Wang |
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| Rok vydání: | 2021 |
| Předmět: |
050103 clinical psychology
Medical education Facial expression Computer Networks and Communications Body posture business.industry Deep learning 05 social sciences Diagnostic system medicine.disease Diagnostic aid Test (assessment) 03 medical and health sciences 0302 clinical medicine Hardware and Architecture Signal Processing medicine Attention deficit hyperactivity disorder 0501 psychology and cognitive sciences Artificial intelligence Electrical and Electronic Engineering Abnormality Psychology business 030217 neurology & neurosurgery |
| Zdroj: | Frontiers of Information Technology & Electronic Engineering. 22:400-414 |
| ISSN: | 2095-9230 2095-9184 |
| DOI: | 10.1631/fitee.1900729 |
| Popis: | Traditional diagnosis of attention deficit hyperactivity disorder (ADHD) in children 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. In this paper, we integrate artificial intelligence (AI) technology into a software-hardware coordinated system 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. Then, a multi-modal deep learning model is proposed to classify abnormal behavior fragments of children from the captured videos. In combination with other system modules, standardized diagnostic reports can be automatically generated, including test results, abnormal behavior analysis, diagnostic aid conclusions, and treatment recommendations. This system has participated in clinical diagnosis in Department of Psychology, The Children’s Hospital, Zhejiang University School of Medicine, and has been accepted and praised by doctors and patients. |
| Databáze: | OpenAIRE |
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