[HTML][HTML] Artificial intelligence models in the diagnosis of adult-onset dementia disorders: A review

G Battineni, N Chintalapudi, MA Hossain, G Losco… - Bioengineering, 2022 - mdpi.com
Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …

[Retracted] Facial Features Detection System To Identify Children With Autism Spectrum Disorder: Deep Learning Models

ZAT Ahmed, THH Aldhyani, ME Jadhav… - … Methods in Medicine, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with brain
development that subsequently affects the physical appearance of the face. Autistic children …

Multi-feature computational framework for combined signatures of dementia in underrepresented settings

S Moguilner, A Birba, S Fittipaldi… - Journal of neural …, 2022 - iopscience.iop.org
Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD)
and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed …

[HTML][HTML] Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques

SE Sorour, AA Abd El-Mageed, KM Albarrak… - Journal of King Saud …, 2024 - Elsevier
Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …

Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images

M Mamun, SB Shawkat, MS Ahammed… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that causes problems
with memory, thinking, and behavior. And with time, symptoms become severe enough to …

Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions

A Elazab, C Wang, M Abdelaziz, J Zhang, J Gu… - Expert Systems with …, 2024 - Elsevier
Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

[HTML][HTML] Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is considered one of the challenges facing health care in the
modern century; until now, there has been no effective treatment to cure it, but there are …

[HTML][HTML] Alzheimer's disease detection from fused PET and MRI modalities using an ensemble classifier

A Shukla, R Tiwari, S Tiwari - Machine Learning and Knowledge …, 2023 - mdpi.com
Alzheimer's disease (AD) is an old-age disease that comes in different stages and directly
affects the different regions of the brain. The research into the detection of AD and its stages …

[HTML][HTML] Reinforcement-Learning-Based Localization of Hippocampus for Alzheimer's Disease Detection

A Raj, G Mirzaei - Diagnostics, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder primarily impacting
memory and cognitive functions. The hippocampus serves as a key biomarker associated …

Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease

A Soares Dias Portela, V Saxena… - Molecular Nutrition & …, 2024 - Wiley Online Library
Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million
since 2015, and it is known for memory loss and cognitive decline. Considering the …