Alzheimer's Disease

Machine Learning-Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive assessme...

Demographic Data Supporting FDA Authorization of AI Devices for Alzheimer Disease and Related Dementias.

Structural MRI-based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations.

Purpose To examine common patterns among different computer-aided diagnosis (CAD) models for Alzhei...

Integrated transcriptomic and proteomic analysis identifies FBXW7 as a key regulator of tau homeostasis in Alzheimer's disease.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex, in...

A hybrid filtering and deep learning approach for early Alzheimer's disease identification.

Alzheimer's disease is a progressive neurological disorder that profoundly affects cognitive functio...

A novel deep learning-based brain age prediction framework for routine clinical MRI scans.

Physiological brain aging is associated with cognitive impairment and neuroanatomical changes. Brain...

Application of machine learning in EEG-based dementia diagnosis: Classification and differential diagnosis.

BackgroundElectroencephalogram (EEG) is a promising, non-invasive method for identifying the presenc...

From Challenges to Innovations: Expert Insights in Pediatric Healthcare Design.

Pediatric healthcare design increasingly addresses clinical and psychosocial needs, highlighting th...

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...

An explainable transformer model for Alzheimer's disease detection using retinal imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the abs...

Machine learning in Alzheimer's disease genetics.

Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

Application of machine learning reveals diagnostic biomarkers related to pyroptosis in Alzheimer's disease and analysis of immune infiltration.

BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...

Optimized sequential classification models for mild cognitive impairment screening based on handwriting and speech data.

BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, ...

Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, ...

Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly r...

Diagnostic interchangeability of deep-learning based Synth-STIR images generated from T1 and T2 weighted spine images.

OBJECTIVES: To evaluate image quality and diagnostic interchangeability of synth short-tau inversion...

Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy.

BACKGROUND AND AIMS: The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanc...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

Developing an accessible dementia assessment tool: Leveraging a residual network, the trail making test, and demographic data.

BackgroundThe global burden of Alzheimer's disease and related dementias is rapidly increasing, part...

Characterizing structure-function coupling in subjective memory complaints of preclinical Alzheimer's disease.

BackgroundSubjective cognitive decline (SCD) is recognized as an early phase in the progression of A...