The use of neuroimaging techniques in the early and differential diagnosis of dementia
L Chouliaras, JT O'Brien - Molecular Psychiatry, 2023 - nature.com
Dementia is a leading cause of disability and death worldwide. At present there is no
disease modifying treatment for any of the most common types of dementia such as …
disease modifying treatment for any of the most common types of dementia such as …
[HTML][HTML] A review of the application of deep learning in the detection of Alzheimer's disease
S Gao, D Lima - International Journal of Cognitive Computing in …, 2022 - Elsevier
Alzheimer's disease (AD) is the most common chronic disease in the elderly, with a high
incidence rate. In recent years, deep learning has become popular in the field of medical …
incidence rate. In recent years, deep learning has become popular in the field of medical …
Machine learning and novel biomarkers for the diagnosis of Alzheimer's disease
Background: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease
that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on …
that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on …
[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
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 …
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images
Alzheimer's disease (AD) is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. It is one of the leading types of dementia for persons aged above …
memory and thinking skills. It is one of the leading types of dementia for persons aged above …
Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive …
R Shi, C Sheng, S Jin, Q Zhang, S Zhang… - Human brain …, 2023 - Wiley Online Library
Exploring individual brain atrophy patterns is of great value in precision medicine for
Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the current …
Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the current …
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
MB Kale, NL Wankhede, RS Pawar, S Ballal… - Ageing Research …, 2024 - Elsevier
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research
and clinical practice due to its complex etiology and progressive nature. The integration of …
and clinical practice due to its complex etiology and progressive nature. The integration of …
Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights
Identification of Alzheimer's disease (AD) onset risk can facilitate interventions before
irreversible disease progression. We demonstrate that electronic health records from the …
irreversible disease progression. We demonstrate that electronic health records from the …
A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer's disease
Background Alzheimer's disease, the most common cause of dementia, causes a
progressive and irreversible deterioration of cognition that can sometimes be difficult to …
progressive and irreversible deterioration of cognition that can sometimes be difficult to …
Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach
AM Gaeta, M Quijada-López, F Barbé… - Frontiers in Aging …, 2024 - frontiersin.org
Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Current
core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a …
core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a …