Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease
G Martí-Juan, G Sanroma-Guell, G Piella - Computer methods and …, 2020 - Elsevier
Abstract Background and Objectives: Recently, longitudinal studies of Alzheimer's disease
have gathered a substantial amount of neuroimaging data. New methods are needed to …
have gathered a substantial amount of neuroimaging data. New methods are needed to …
[HTML][HTML] Alzheimer's disease diagnosis and biomarker analysis using resting-state functional MRI functional brain network with multi-measures features and …
Accurate diagnosis of the early stage of Alzheimer's disease (AD) is essential but very
challenging. The objective of this study was to properly utilize the biomarkers for diagnosis …
challenging. The objective of this study was to properly utilize the biomarkers for diagnosis …
The road to personalized medicine in Alzheimer's disease: The use of artificial intelligence
A Silva-Spínola, I Baldeiras, JP Arrais, I Santana - Biomedicines, 2022 - mdpi.com
Dementia remains an extremely prevalent syndrome among older people and represents a
major cause of disability and dependency. Alzheimer's disease (AD) accounts for the …
major cause of disability and dependency. Alzheimer's disease (AD) accounts for the …
[HTML][HTML] The volume of hippocampal subfields in relation to decline of memory recall across the adult lifespan
F Zheng, D Cui, L Zhang, S Zhang, Y Zhao… - Frontiers in aging …, 2018 - frontiersin.org
Background: The hippocampus is an important limbic structure closely related to memory
function. However, few studies have focused on the association between hippocampal …
function. However, few studies have focused on the association between hippocampal …
Longitudinal change in regional brain volumes with exposure to repetitive head impacts
Objective This study tests the hypothesis that certain MRI-based regional brain volumes will
show reductions over time in a cohort exposed to repetitive head impacts (RHI). Methods …
show reductions over time in a cohort exposed to repetitive head impacts (RHI). Methods …
Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment
This study examines the atrophy rates of subjects with mild cognitive impairment (MCI)
compared to controls in four regions within the medial temporal lobe: the transentorhinal …
compared to controls in four regions within the medial temporal lobe: the transentorhinal …
Atrophy asymmetry in hippocampal subfields in patients with Alzheimer's disease and mild cognitive impairment
AR Jahanshahi, R Naghdi Sadeh… - Experimental Brain …, 2023 - Springer
Volumetric analysis of hippocampal subfields and their asymmetry assessment recently has
been useful biomarkers in neuroscience. In this study, hippocampal subfields atrophy and …
been useful biomarkers in neuroscience. In this study, hippocampal subfields atrophy and …
Predicting Alzheimer's conversion in mild cognitive impairment patients using longitudinal neuroimaging and clinical markers
C Platero, MC Tobar… - Brain Imaging and …, 2021 - Springer
Patients with mild cognitive impairment (MCI) have a high risk for conversion to Alzheimer's
disease (AD). Early diagnose of AD in MCI subjects could help to slow or halt the disease …
disease (AD). Early diagnose of AD in MCI subjects could help to slow or halt the disease …
Predicting mild cognitive impairment in older adults: a machine learning analysis of the Alzheimer's Disease Neuroimaging Initiative
Y Wu, X Wang, Y Fang - Geriatrics & Gerontology International, 2024 - Wiley Online Library
Aim Mild cognitive impairment (MCI) in older adults is potentially devastating, but an
accurate prediction model is still lacking. We hypothesized that neuropsychological tests …
accurate prediction model is still lacking. We hypothesized that neuropsychological tests …