AIMC Topic: Alzheimer Disease

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Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 27, 2022
Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive decline, is generally prevalent in elderly people with significant disability and mortality. There is no effective treatment for AD currently, but the early...
Early Diagnosis Evoked Potentials Deep Learning Cognitive Dysfunction Electroencephalography Alzheimer Disease Humans Aged
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Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.

Scientific reports Oct 26, 2022
The limited accessibility of medical specialists for Alzheimer's disease (AD) can make obtaining an accurate diagnosis in a timely manner challenging and may influence prognosis. We investigated whether VUNO Med-DeepBrain AD (DBAD) using a deep learn...
Humans Algorithms Deep Learning Magnetic Resonance Imaging Brain Aged Alzheimer Disease
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Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects.

Sensors (Basel, Switzerland) Oct 23, 2022
With modern population growth and an increase in the average lifespan, more patients are becoming afflicted with neurodegenerative diseases such as dementia and Alzheimer's. Patients with a history of epilepsy, drug abuse, and mental health disorders...
Seizures Alzheimer Disease Humans Brain Deep Learning Child Electroencephalography
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Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Oct 18, 2022
Alzheimer's disease (AD) is currently diagnosed using a mixture of psychological tests and clinical observations. However, these diagnoses are not perfect, and additional diagnostic tools (e.g., MRI) can help improve our understanding of AD as well a...
Deep Learning Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Artificial Intelligence Brain Humans
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Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs.

Scientific reports Oct 17, 2022
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer's disease demen...
Disease Progression Deep Learning Humans Biomarkers Alzheimer Disease Cognitive Dysfunction Magnetic Resonance Imaging Early Diagnosis Neuroimaging
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A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study.

The Lancet. Digital health Sep 30, 2022
BACKGROUND: There is no simple model to screen for Alzheimer's disease, partly because the diagnosis of Alzheimer's disease itself is complex-typically involving expensive and sometimes invasive tests not commonly available outside highly specialised...
Amyloid beta-Peptides Case-Control Studies Humans Alzheimer Disease Retrospective Studies Deep Learning
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Artificial intelligence for detection of Alzheimer's disease: demonstration of real-world value is required to bridge the translational gap.

The Lancet. Digital health Sep 30, 2022
Alzheimer Disease Humans Artificial Intelligence
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Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.

Physics in medicine and biology Sep 30, 2022
. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease (AD), there remains a clear clinical need for reliable tools to extract diagnoses from neuroimages. Significant work has been done to develop deep le...
Alzheimer Disease Fluorodeoxyglucose F18 Positron-Emission Tomography Neuroimaging Deep Learning Magnetic Resonance Imaging Humans
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Predicting conversion to Alzheimer's disease in individuals with Mild Cognitive Impairment using clinically transferable features.

Scientific reports Sep 16, 2022
Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer's disease (AD). Early identification of underlying neurodegenerative processes is essential to provide treatment before the disease is well established in the brain. He...
Machine Learning Apolipoproteins E Cognitive Dysfunction Magnetic Resonance Imaging Humans Alzheimer Disease
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Multi-modality MRI for Alzheimer's disease detection using deep learning.

Physical and engineering sciences in medicine Sep 5, 2022
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which allows us to observe the insightful structure of the human body in vivo and non-invasively. It identifies the microstructure of white matter (WM) connectivity by ...
Atrophy Alzheimer Disease Diffusion Tensor Imaging Deep Learning Magnetic Resonance Imaging Humans
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