Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges

S El-Sappagh, JM Alonso-Moral, T Abuhmed… - Artificial Intelligence …, 2023 - Springer
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
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 …

[HTML][HTML] Alzheimer's disease diagnosis and biomarker analysis using resting-state functional MRI functional brain network with multi-measures features and …

U Khatri, GR Kwon - Frontiers in aging neuroscience, 2022 - frontiersin.org
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 …

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 …

[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 …

Longitudinal change in regional brain volumes with exposure to repetitive head impacts

C Bernick, G Shan, H Zetterberg, S Banks, VR Mishra… - Neurology, 2020 - AAN Enterprises
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 …

Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment

S Kulason, DJ Tward, T Brown, CS Sicat, CF Liu… - NeuroImage: Clinical, 2019 - Elsevier
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 …

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 …

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 …

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 …