Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Alzheimer's Disease Prediction Using Fly-Optimized Densely Connected Convolution Neural Networks Based on MRI Images.

Alzheimer's is a degenerative brain cell disease that affects around 5.8 million people globally. Th...

Screening Targets and Therapeutic Drugs for Alzheimer's Disease Based on Deep Learning Model and Molecular Docking.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder caused by a complex interplay o...

Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

BACKGROUND: Computer-aided machine learning models are being actively developed with clinically avai...

Updated Models of Alzheimer's Disease with Deep Neural Networks.

BACKGROUND: In recent years, researchers have focused on developing precise models for the progressi...

Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuning a Pre-trained Algorithm.

OBJECTIVE: The increasing longevity of the population has made Alzheimer's disease (AD) a significan...

Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review.

BACKGROUND: Dementia is a general term for several progressive neurodegenerative disorders including...

Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.

As the world's population ages, Alzheimer's disease is currently the seventh most common cause of de...

hdWGCNA and Cellular Communication Identify Active NK Cell Subtypes in Alzheimer's Disease and Screen for Diagnostic Markers through Machine Learning.

BACKGROUND: Alzheimer's disease (AD) is a recognized complex and severe neurodegenerative disorder, ...

Epistatic Features and Machine Learning Improve Alzheimer's Disease Risk Prediction Over Polygenic Risk Scores.

BACKGROUND: Polygenic risk scores (PRS) are linear combinations of genetic markers weighted by effec...

Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.

BACKGROUND: There are various molecular hypotheses regarding Alzheimer's disease (AD) like amyloid d...

Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer's Disease.

Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The past few ...

Prediction of LncRNA-protein Interactions Using Auto-Encoder, SE-ResNet Models and Transfer Learning.

BACKGROUND: Long non-coding RNA (lncRNA) plays a crucial role in various biological processes, and m...

Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer's Disease Not Using Neuroimaging Biomarkers: A Systematic Review.

BACKGROUND: The growing number of older adults in recent decades has led to more prevalent geriatric...

An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.

OBJECTIVE: The objective of this study is to develop a more effective early detection system for Alz...

Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining.

As one of the leading causes for dementia in the population, it is imperative that we discern exactl...

MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.

Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disea...

Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.

OBJECTIVES: To evaluate caregiver opinions on the use of artificial intelligence (AI)-assisted medic...

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