[HTML][HTML] Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study
Introduction: Attention-deficit/hyperactivity disorder (ADHD) affects a significant proportion of
the pediatric population, making early detection crucial for effective intervention. Eye …
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) …
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
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental
disorder of childhood. Although it requires timely detection and intervention, existing …
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
ADHD is being recognized as a diagnosis which persists into adulthood impacting
economic, occupational, and educational outcomes. There is an increased need to …
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 …
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
Objective: The use of continuous performance tests (CPTs) for assessing ADHD related
cognitive impairment is ubiquitous. Novel psychophysiological measures may enhance the …
cognitive impairment is ubiquitous. Novel psychophysiological measures may enhance the …
A survey of attention deficit hyperactivity disorder identification using psychophysiological data
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 …
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
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 …
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
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in
children and adolescents. Traditional diagnosis methods of ADHD focus on observed …
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 …
and economic outcomes. There is an increased need to accurately diagnose this population …