[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions

R Li, X Wang, K Lawler, S Garg, Q Bai, J Alty - Journal of biomedical …, 2022 - Elsevier
Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …

Eye tracking metrics to screen and assess cognitive impairment in patients with neurological disorders

L Tao, Q Wang, D Liu, J Wang, Z Zhu, L Feng - Neurological Sciences, 2020 - Springer
Purpose of review Eye tracking is a powerful method to investigate the relationship between
behavior and neural mechanisms. In recent years, eye movement analysis has been used in …

Predicting MCI status from multimodal language data using cascaded classifiers

KC Fraser, K Lundholm Fors, M Eckerström… - Frontiers in aging …, 2019 - frontiersin.org
Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …

Machine learning and eye movements give insights into neurodegenerative disease mechanisms

AW Przybyszewski, A Śledzianowski, A Chudzik… - Sensors, 2023 - mdpi.com
Humans are a vision-dominated species; what we perceive depends on where we look.
Therefore, eye movements (EMs) are essential to our interactions with the environment, and …

Computer-aided autism diagnosis based on visual attention models using eye tracking

JS Oliveira, FO Franco, MC Revers, AF Silva… - Scientific reports, 2021 - nature.com
An advantage of using eye tracking for diagnosis is that it is non-invasive and can be
performed in individuals with different functional levels and ages. Computer/aided diagnosis …

Early detection of cognitive decline in Alzheimer's disease using eye tracking

S Tokushige, H Matsumoto, S Matsuda… - Frontiers in Aging …, 2023 - frontiersin.org
Background Patients with Alzheimer's disease (AD) are known to exhibit visuospatial
processing impairment, as reflected in eye movements from the early stages of the disease …

The potential of naturalistic eye movement tasks in the diagnosis of Alzheimer's disease: a review

MR Readman, M Polden, MC Gibbs, L Wareing… - Brain sciences, 2021 - mdpi.com
Extensive research has demonstrated that eye-tracking tasks can effectively indicate
cognitive impairment. For example, lab-based eye-tracking tasks, such as the antisaccade …

Aging and eye tracking: in the quest for objective biomarkers

RZ Marandi, P Gazerani - Future Neurology, 2019 - Taylor & Francis
Recent applications of eye tracking for diagnosis, prognosis and follow-up of therapy in age-
related neurological or psychological deficits have been reviewed. The review is focused on …

Predicting artificial visual field losses: A gaze-based inference study

EJ David, P Lebranchu, MP Da Silva… - Journal of …, 2019 - jov.arvojournals.org
Visual field defects are a world-wide concern, and the proportion of the population
experiencing vision loss is ever increasing. Macular degeneration and glaucoma are among …

The impact of Alzheimer's disease risk factors on the pupillary light response

S Sparks, J Pinto, G Hayes, M Spitschan… - Frontiers in …, 2023 - frontiersin.org
Alzheimer's disease (AD) is the leading cause of dementia, and its prevalence is increasing
and is expected to continue to increase over the next few decades. Because of this, there is …