Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
OBJECTIVES: In this study, we propose an interpretable deep learning radiomics (IDLR) model based on...
Immunoglobulin light chain (AL) amyloidosis is a severe disorder caused by the accumulation of amylo...
Alzheimer's disease (AD) is a chronic disease among people aged 65 and older. As the aging populatio...
INTRODUCTION: Multiplexed PET imaging revolutionized clinical decision-making by simultaneously capt...
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is incr...
As an early indicator of dementia, mild cognitive impairment (MCI) requires specialized treatment ac...
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in p...
BACKGROUND: Alzheimer's disease (AD) represents a progressive neurodegenerative disorder characteriz...
The APOE gene, encoding apolipoprotein E, is a predictor of longevity and age-related diseases. Desp...
Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbias...
BACKGROUND: Correctly diagnosing mild cognitive impairment (MCI) and Alzheimer's disease (AD) is imp...
Two themes are coming to the forefront in this decade: Cognitive impairment of an aging population a...
Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...
BACKGROUND: Degradation of magnetic resonance imaging (MRI) remains a challenging issue, with noise ...
Early screening for Mild Cognitive Impairment (MCI) is crucial in delaying cognitive deterioration a...
A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region fo...
Parkinson's disease (PD) is one of the most prominent motor disorder of adult-onset dementia connect...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
Medical image classification using convolutional neural networks (CNNs) is promising but often requi...
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with ...
PURPOSE: This study aimed to investigate a deep learning model to classify amyloid plaque deposition...