Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis

SF Maleki, M Yousefi, N Sobhi… - Current Alzheimer …, 2024 - benthamdirect.com
As the world's population ages, Alzheimer's disease is currently the seventh most common
cause of death globally; the burden is anticipated to increase, especially among middle …

Visual exploration dynamics are low-dimensional and driven by intrinsic factors

A Zangrossi, G Cona, M Celli, M Zorzi… - Communications …, 2021 - nature.com
When looking at visual images, the eyes move to the most salient and behaviourally relevant
objects. Saliency and semantic information significantly explain where people look. Less is …

Deep Learning Algorithms for Screening and Diagnosis of Systemic Diseases Based on Ophthalmic Manifestations: A Systematic Review

WC Iao, W Zhang, X Wang, Y Wu, D Lin, H Lin - Diagnostics, 2023 - mdpi.com
Deep learning (DL) is the new high-profile technology in medical artificial intelligence (AI) for
building screening and diagnosing algorithms for various diseases. The eye provides a …

Eye movement changes as an indicator of mild cognitive impairment

J Opwonya, B Ku, KH Lee, JI Kim, JU Kim - Frontiers in Neuroscience, 2023 - frontiersin.org
Background Early identification of patients at risk of dementia, alongside timely medical
intervention, can prevent disease progression. Despite their potential clinical utility, the …

[HTML][HTML] Evaluating web-based automatic transcription for Alzheimer speech data: transcript comparison and machine learning analysis

T Soroski, T da Cunha Vasco, S Newton-Mason… - JMIR aging, 2022 - aging.jmir.org
Background Speech data for medical research can be collected noninvasively and in large
volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease …

Deep Learning-based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli

F Zuo, P **g, J Sun, J Duan, Y Ji… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a neurodegenerative disorder that causes a continuous decline
in cognitive functions and eventually results in death. An early AD diagnosis is important for …

Visual analysis of eye movements during micro-stories reading

L Luque, ML Ganuza, SM Castro… - Journal of …, 2022 - Springer
Reading is a complex task that can provide valuable information about our perceptual and
cognitive processes. To understand how people read, researchers have embraced the use …

Biglycan expression promotes β-amyloid-induced microglial activation via TLR2 in mouse cell culture model.

W Duan, J Zou, X Chen, C **ao… - Clinical Laboratory, 2021 - search.ebscohost.com
Background: Alzheimer disease (AD) is one of the most frequent neurodegenerative
disorders that results in the progressive loss of memory and severe impairments and death …

[PDF][PDF] From the Eyes to the Suffering Brain: Can Eye Tracking be Considered as a Significant Digital Biomarker for Neurological Diseases?

S Cecchetti, U Roy, M Cavallo - 2024 - scholarworks.utrgv.edu
Eye movements are a basilar aspect of vision and are supported by several neurological
functions, including visual processing in the brain, the transmission of information through …

Applying the Eye-Tracking Method for the Classification of Neurological Disorders, Mental Diseases, and Speech Impairments Based on Machine Learning: an …

MA Shurupova, AD Aizenshtein… - 2023 IEEE Ural …, 2023 - ieeexplore.ieee.org
Eye tracking is a non-invasive technology that facilitates the real-time monitoring of eye
movements. It offers insights into visual behavior and cognitive processes. The analysis of …