[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 …

A review of deep transfer learning approaches for class-wise prediction of Alzheimer's disease using MRI images

PS Sisodia, GK Ameta, Y Kumar, N Chaplot - Archives of Computational …, 2023 - Springer
Alzheimer's disease is an irreversible, progressive neurodegenerative disorder that destroys
the brain and memory functionalities. In Alzheimer's disease, the brain starts shrinking, and …

Early-stage Alzheimer's disease prediction using machine learning models

C Kavitha, V Mani, SR Srividhya, OI Khalaf… - Frontiers in public …, 2022 - frontiersin.org
Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently
a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's …

An MRI scans-based Alzheimer's disease detection via convolutional neural network and transfer learning

KT Chui, BB Gupta, W Alhalabi, FS Alzahrani - Diagnostics, 2022 - mdpi.com
Alzheimer's disease (AD) is the most common type (> 60%) of dementia and can wreak
havoc on the psychological and physiological development of sufferers and their carers, as …

A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer

NA Baghdadi, A Malki, HM Balaha, M Badawy… - Sensors, 2022 - mdpi.com
Alzheimer's disease (AD) is a chronic disease that affects the elderly. There are many
different types of dementia, but Alzheimer's disease is one of the leading causes of death …

Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI

Z Yao, W Mao, Y Yuan, Z Shi, G Zhu, W Zhang… - Information …, 2023 - Elsevier
Alzheimer's disease, a primary degenerative encephalopathy, predominantly affects elderly
and pre-elderly individuals and is characterized by persistent anxiety-like brain activity …

Advanced brain imaging for the diagnosis of Alzheimer disease

YTT Wang, P Rosa-Neto, S Gauthier - Current opinion in …, 2023 - journals.lww.com
Brain imaging techniques using PET improve our understanding of the different AD-related
pathologies and their relationship with each other along the course of disease. With more …

Survey of deep learning techniques for disease prediction based on omics data

X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …

Brain-on-Cloud for automatic diagnosis of Alzheimer's disease from 3D structural magnetic resonance whole-brain scans

S Tomassini, A Sbrollini, G Covella, P Sernani… - Computer Methods and …, 2022 - Elsevier
Background and objective Alzheimer's disease accounts for approximately 70% of all
dementia cases. Cortical and hippocampal atrophy caused by Alzheimer's disease can be …

Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions

A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …