This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (284) mHealth for Screening (296) Attention Deficit Disorder (ADD/ADHD) (90) Diagnostic Tools in Mental Health (326) New Methods (1134) Mental Health Issues in Adolescence (637) Developmental Problems (80) Machine Learning (2076)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58927, first published .
Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study

Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study

Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study

Authors of this article:

Zhongling Liu1 Author Orcid Image ;   Jinkai Li2 Author Orcid Image ;   Yuanyuan Zhang1 Author Orcid Image ;   Dan Wu1 Author Orcid Image ;   Yanyan Huo1 Author Orcid Image ;   Jianxin Yang2 Author Orcid Image ;   Musen Zhang2 Author Orcid Image ;   Chuanfei Dong1 Author Orcid Image ;   Luhui Jiang3 Author Orcid Image ;   Ruohan Sun3 Author Orcid Image ;   Ruoyin Zhou3 Author Orcid Image ;   Fei Li4 Author Orcid Image ;   Xiaodan Yu5 Author Orcid Image ;   Daqian Zhu6 Author Orcid Image ;   Yao Guo2 Author Orcid Image ;   Jinjin Chen1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics Author Video

Journals

  1. Guigou Y, Hennequin A, Marchand T, Chebli M, Pisella L, Staccini P, Douet Vannucci V. Preliminary results of the EPIDIA4Kids study on brain function in children: multidimensional ADHD-related symptomatology screening using multimodality biometry. Frontiers in Psychiatry 2025;16 View
  2. Sun B, Cai F, Huang H, Li B, Wei B. Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review. Experimental Biology and Medicine 2025;250 View
  3. Le D, Nguyen T, Le T, Ngo T. The use of eye-tracking technology in supporting children and adolescents with attention deficit/hyperactivity disorder: a comprehensive review. Disability and Rehabilitation: Assistive Technology 2025;20(5):1296 View
  4. Sharma S, Chakrabarty M, Ray S, Shukla J. Machine learning-driven analysis of temporal pupil dynamics for interpretable ADHD diagnosis. Computers in Biology and Medicine 2025;196:110878 View
  5. Yilmaz U, Karadeniz C, Demirkaya B, Sparrenberg L, Toraman D, Yagmurlu K, Hasoglu T, Yuksel C, Sifa R, Albayram O. Cognitive Fingerprinting of Attention-Deficit/Hyperactivity Disorder Subtypes via Artificial Intelligence-Driven Virtual Reality. AI in Neuroscience 2025;1(4):149 View

Conference Proceedings

  1. Zhai Y, Liu J, Luo Y, Wang Z, Guo Y. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Adaptive Motion Scaling in Teleoperated Robotic Surgery based on Human Intention and Attention View