Digital cognitive biomarker for mild cognitive impairments and dementia: a systematic review

Z Ding, TL Lee, AS Chan - Journal of clinical medicine, 2022 - mdpi.com
The dementia population is increasing as the world's population is growing older. The
current systematic review aims to identify digital cognitive biomarkers from computerized …

Neural computation-based methods for the early diagnosis and prognosis of Alzheimer's disease not using neuroimaging biomarkers: A systematic review

Y Cabrera-León, PG Báez… - Journal of …, 2024 - content.iospress.com
Background: The growing number of older adults in recent decades has led to more
prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer's disease …

Causal relationship between gut microflora and dementia: a Mendelian randomization study

J Fu, Y Qin, L Xiao, X Dai - Frontiers in Microbiology, 2024 - frontiersin.org
Background Numerous pertinent investigations have demonstrated a correlation between
gut microflora (GM) and the occurrence of dementia. However, a causal connection between …

Child Psychological Drawing Pattern Detection on OBGET Dataset, a case study on accuracy Based on MYOLO v5 and MResNet 50

MF Ahmadsaraei, A Bastanfard, A Amini - Multimedia Tools and …, 2024 - Springer
The interpretation of drawing psychological data is amazing, and they behave differently in
various situations like age. This research compares different deep learning methods and …

Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline

JY Park, EH Seo, HJ Yoon, S Won, KH Lee - Alzheimer's Research & …, 2023 - Springer
Abstract Background The Rey Complex Figure Test (RCFT) has been widely used to
evaluate the neurocognitive functions in various clinical groups with a broad range of ages …

A new early warning method for mild cognitive impairment due to Alzheimer's disease based on dynamic evaluation of the “spatial executive process”

K Li, X Ma, T Chen, J Xin, C Wang, B Wu… - Digital …, 2023 - journals.sagepub.com
Objective Mild cognitive impairment (MCI) due to Alzheimer's disease (AD), as an early
stage of AD, is an important point for early warning of AD. Neuropathological studies have …

Disentangling visual exploration differences in cognitive impairment

Z Jiang, S Seyedi, KL Vickers… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: Individuals with cognitive impairment (CI) exhibit different oculomotor functions
and viewing behaviors. In this work we aimed to quantify the differences in these functions …

A new smart 2-min mobile alerting method for mild cognitive impairment due to Alzheimer's disease in the community

Y Wang, T Chen, C Wang, A Ogihara, X Ma, S Huang… - Brain Sciences, 2023 - mdpi.com
The early identification of mild cognitive impairment (MCI) due to Alzheimer's disease (AD),
in an early stage of AD can expand the AD warning window. We propose a new capability …

Diagnostic Accuracy of Digital Solutions for Screening for Cognitive Impairment: A Systematic Review and Meta-Analysis

M Magno, AI Martins, J Pais, AG Silva, NP Rocha - Applied Sciences, 2024 - mdpi.com
The early detection of cognitive impairment is essential in order to initiate interventions and
guarantee access to healthcare services. Digital solutions are emerging in the literature as …

OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning

M Fathi Ahmadsaraei, A Bastanfard, A Amini - International Journal of …, 2023 - Springer
Hand sketch psychological data are mysterious and can be used to detect mental disorders
early and prevent them from getting worse and with irreversible consequences. The Original …