中国医学教育技术2025，Vol.39Issue(2)：170-174,5.DOI:10.13566/j.cnki.cmet.cn61-1317/g4.202502005
人工智能在注意缺陷多动障碍诊断领域的应用进展
Application progress of artificial intelligence in the diagnosis of attention deficit hyperactivity disorder
摘要
Abstract
Attention deficit hyperactivity disorder(ADHD)is a neurodevelopmental disorder characterized by persistent inattention,hyperactivity,and impulsive behavior,affecting approximately 5%of children globally.In recent years,the application of artificial intelligence(AI)in ADHD diagno-sis has shown significant potential.By integrating multimodal data such as electroencephalography(EEG),magnetic resonance imaging(MRI),virtual reality(VR),and behavioral characteristics,AI-driven machine learning models can extract critical features from large datasets,thereby improving di-agnostic accuracy and efficiency.Particularly in the fields of neuroimaging,EEG signal analysis,and behavioral data processing,deep learning models demonstrate outstanding classification performance,effectively distinguishing ADHD patients from healthy individuals.Additionally,when combined with patients'social profiles and VR-generated behavioral data,AI technology further optimizes ADHD diagnostic procedures,providing robust decision support for clinical assessments.In the future,with improvements in data quality,multimodal integration,and the development of interpretable AI mod-els,AI holds promising potential in the early screening and prediction of ADHD,ultimately enhanc-ing patient quality of life and clinical diagnostic outcomes.关键词
人工智能/注意缺陷多动障碍/算法模型/虚拟现实Key words
artificial intelligence/attention deficit hyperactivity disorder/algorithm model/virtual reality分类
社会科学引用本文复制引用
李宁宇,赵俊强,周福军..人工智能在注意缺陷多动障碍诊断领域的应用进展[J].中国医学教育技术,2025,39(2):170-174,5.基金项目
河南省自然科学基金(242300421307) （242300421307）
河南省教改重点课题(2024SJGLX0141) （2024SJGLX0141）
精神心理疾病防治河南省协同创新中心开放课题(XTkf11) （XTkf11）
