ReviewComputational and mathematical methods in medicine2018
Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease: A Review.
Review in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Machine Learning Integration of Eye-Tracking and Cognitive Screening for Detecting Cognitive Impairment.Journal of eye movement research · 2026Article
- Validation of reading as a predictor of mild cognitive impairment.Scientific reports · 2025Article
- Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis.Biomedicines · 2025Article
- A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.Current Alzheimer research · 2024Review
- Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms.Sensors (Basel, Switzerland) · 2023Review
- The impact of Alzheimer's disease risk factors on the pupillary light response.Frontiers in neuroscience · 2023Review
- Early detection of cognitive decline in Alzheimer's disease using eye tracking.Frontiers in aging neuroscience · 2023Article
- Assessment of cognitive biases in Augmented Reality: Beyond eye tracking.Journal of eye movement research · 2022Article
- The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer's Disease: A Review.Brain sciences · 2021Review
- Computer-aided autism diagnosis based on visual attention models using eye tracking.Scientific reports · 2021Article
- Eye tracking metrics to screen and assess cognitive impairment in patients with neurological disorders.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Review
- Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers.Frontiers in aging neuroscience · 2019Article
- Eye tracking as a diagnostic tool in Alzheimer's disease, mild cognitive impairment, and related dementias: a systematic review.Alzheimer's & dementia (Amsterdam, Netherlands)Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An opportune early diagnosis of Alzheimer's disease (AD) would help to overcome symptoms and improve the quality of life for AD patients. Research studies have identified early manifestations of AD that occur years before the diagnosis. For instance, eye movements of people with AD in different tasks differ from eye movements of control subjects. In this review, we present a summary and evolution of research approaches that use eye tracking technology and computational analysis to measure and compare eye movements under different tasks and experiments. Furthermore, this review is targeted to the feasibility of pioneer work on developing computational tools and techniques to analyze eye movements under naturalistic scenarios. We describe the progress in technology that can enhance the analysis of eye movements everywhere while subjects perform their daily activities and give future research directions to develop tools to support early AD diagnosis through analysis of eye movements.
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Registered trials
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