Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
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 …
disorder among the elderly and is a leading cause of dementia. AD results in significant …
Artificial intelligence models in the diagnosis of adult-onset dementia disorders: A review
Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …
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 …
development that subsequently affects the physical appearance of the face. Autistic children …
Multi-feature computational framework for combined signatures of dementia in underrepresented settings
Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD)
and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed …
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
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 …
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
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 …
with memory, thinking, and behavior. And with time, symptoms become severe enough to …
Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
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 …
modern century; until now, there has been no effective treatment to cure it, but there are …
Alzheimer's disease detection from fused PET and MRI modalities using an ensemble classifier
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 …
affects the different regions of the brain. The research into the detection of AD and its stages …
Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …
[HTML][HTML] Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
Background To diagnose Alzheimer disease (AD), individuals are classified according to the
severity of their cognitive impairment. There are currently no specific causes or conditions for …
severity of their cognitive impairment. There are currently no specific causes or conditions for …