Applications of artificial intelligence in the neuropsychological assessment of dementia: A systematic review
I Veneziani, A Marra, C Formica, A Grimaldi… - Journal of Personalized …, 2024 - mdpi.com
In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
[HTML][HTML] Psychometric Evaluation of a Tablet-Based Tool to Detect Mild Cognitive Impairment in Older Adults: Mixed Methods Study
J McMurray, AM Levy, W Pang, P Holyoke - Journal of Medical Internet …, 2024 - jmir.org
Background With the rapid aging of the global population, the prevalence of mild cognitive
impairment (MCI) and dementia is anticipated to surge worldwide. MCI serves as an …
impairment (MCI) and dementia is anticipated to surge worldwide. MCI serves as an …
[HTML][HTML] A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
Dementia is a major global health issue that significantly impacts millions of individuals,
families, and societies worldwide, creating a substantial burden on healthcare systems. This …
families, and societies worldwide, creating a substantial burden on healthcare systems. This …
Using machine learning model for predicting risk of memory decline: A cross sectional study
Y Song, Y Sun, Q Weng, L Yi - Heliyon, 2024 - cell.com
Background Memory decline is the earliest symptom of various neurodegenerative disease,
such as Alzheimer's disease (AD). However, accurately the prediction and identification of …
such as Alzheimer's disease (AD). However, accurately the prediction and identification of …