[HTML][HTML] Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study

JH Yoo, CS Kang, JS Lim, B Wang, CH Choi… - Frontiers in …, 2024 - frontiersin.org
Introduction: Attention-deficit/hyperactivity disorder (ADHD) affects a significant proportion of
the pediatric population, making early detection crucial for effective intervention. Eye …

Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children

X Chen, S Wang, X Yang, C Yu, F Ni, J Yang… - Frontiers in …, 2023 - frontiersin.org
Objective To explore the potential of using artificial intelligence (AI)-based eye tracking
technology on a tablet for screening Attention-deficit/hyperactivity disorder (ADHD) …

Use of eye tracking to improve the identification of attention-deficit/hyperactivity disorder in children

DY Lee, Y Shin, RW Park, SM Cho, S Han, C Yoon… - Scientific Reports, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental
disorder of childhood. Although it requires timely detection and intervention, existing …

Eye gaze metrics and analysis of AOI for indexing working memory towards predicting ADHD

G Jayawardena, A Michalek, S Jayarathna - arXiv preprint arXiv …, 2019 - arxiv.org
ADHD is being recognized as a diagnosis which persists into adulthood impacting
economic, occupational, and educational outcomes. There is an increased need to …

Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

Eye tracking during a continuous performance test: Utility for assessing ADHD patients

A Lev, Y Braw, T Elbaum, M Wagner… - Journal of Attention …, 2022 - journals.sagepub.com
Objective: The use of continuous performance tests (CPTs) for assessing ADHD related
cognitive impairment is ubiquitous. Novel psychophysiological measures may enhance the …

A survey of attention deficit hyperactivity disorder identification using psychophysiological data

S De Silva, S Dayarathna, G Ariyarathne, D Meedeniya… - 2019 - learntechlib.org
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common
neurological disorders among children, that affects different areas in the brain that allows …

EYES are the window to the mind: Eye-tracking technology as a novel approach to study clinical characteristics of ADHD

V Levantini, P Muratori, E Inguaggiato, G Masi… - Psychiatry …, 2020 - Elsevier
In recent years, the study of eye movements has increasingly become a window into
neurological function and processes. This paper reports data about applications of eye …

A deep learning approach to imputation of dynamic pupil size data and prediction of ADHD

S Choi, Y Jang, H Kim - International Journal on Artificial …, 2023 - pure.korea.ac.kr
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in
children and adolescents. Traditional diagnosis methods of ADHD focus on observed …

Predicting ADHD using eye gaze metrics indexing working memory capacity

AMP Michalek, G Jayawardena… - Computational Models for …, 2019 - igi-global.com
ADHD is being recognized as a diagnosis that persists into adulthood impacting educational
and economic outcomes. There is an increased need to accurately diagnose this population …