Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 127-147 of 7,162 articles
Hyper-spherical Optimal Transport for Semantic Alignment in Text-to-3D End-to-end Generation.

Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generatin...

Speech production as an artificial intelligence-based 'process' measure of cognition sensitive to mild cognitive impairment and Alzheimer's disease.

Process scores in neuropsychological tests add incremental validity for detecting non-normative cog...

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light-Driven Nanozyme Sensor Array and Machine Learning.

Neurological diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, p...

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn's disease.

BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease, with infliximab (IFX) comm...

Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensio...

Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction.

Electronic Health Records (EHRs) depict patient-related information and have significantly contribut...

Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer's disease in cerebrospinal fluid.

BACKGROUND: The complex pathogenesis of Alzheimer's disease (AD) has resulted in limited current bio...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

Transformer attention-based neural network for cognitive score estimation from sMRI data.

Accurately predicting cognitive scores based on structural MRI holds significant clinical value for ...

BrainAGE latent representation clustering is associated with longitudinal disease progression in early-onset Alzheimer's disease.

INTRODUCTION: Early-onset Alzheimer's disease (EOAD) population is a clinically, genetically and pat...

Influence of cognitive networks and task performance on fMRI-based state classification using DNN models.

Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, ho...

Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

The dermatology residency match has become increasingly competitive, culminating in a 2025 United St...

Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP.

BACKGROUND: As global aging accelerates, community public spaces (CPS) are increasingly recognized a...

Character generation and visual quality enhancement in animated films using deep learning.

With the application and development of technologies such as artificial intelligence and deep learni...

A dual path graph neural network framework for dementia diagnosis.

Dementia typically results from damage to neural pathways and the consequent degeneration of neurona...

A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer.

Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geri...

Machine learning-assisted optimization of dietary intervention against dementia risk.

A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learni...

Design of a Mobile App and a Clinical Trial Management System for Cognitive Health and Dementia Risk Reduction: User-Centered Design Approach.

BACKGROUND: The rising prevalence of dementia is a major concern, with approximately 45% of cases li...

Hybrid Transformer for Early Alzheimer's Detection: Integration of Handwriting-Based 2D Images and 1D Signal Features.

Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. ...

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