Geriatrics

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

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Showing 3949-3969 of 8,132 articles
Detection of emergency department patients at risk of dementia through artificial intelligence.

INTRODUCTION: The study aimed to develop and validate the Emergency Department Dementia Algorithm (E...

Jun 2025 40457744
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis.

Positron emission tomography (PET) imaging technology is widely used for diagnosing Alzheimer's dise...

Jun 2025 40468810
Network Occlusion Sensitivity Analysis Identifies Regional Contributions to Brain Age Prediction.

Deep learning frameworks utilizing convolutional neural networks (CNNs) have frequently been used fo...

Jun 2025 40470724
Enhancing wisdom teeth detection in panoramic radiographs using multi-channel convolutional neural network with clinical knowledge.

This study presents a novel artificial intelligence approach for detecting wisdom teeth in panoramic...

Jun 2025 40381475
Sharing patient technology preferences with care networks: Stakeholders' views of the "Let's Talk Tech" decision aid for dementia care.

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...

Jun 2025 40313054
Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study.

OBJECTIVE: In the attempt of early diagnosis of Alzheimer's Disease, varying forms of medical record...

Jun 2025 40339968
Human Fall Detection using Transfer Learning-based 3D CNN

Unintentional or accidental falls are one of the significant health issues in senior persons. The ...

Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout

INTRODUCTION: Alzheimer's disease (AD) is genetically complex, complicating robust classification ...

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks

Real-world embodied agents face long-horizon tasks, characterized by high-level goals demanding mu...

Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction.

BACKGROUND: Magnetic resonance imaging (MRI), combined with artificial intelligence techniques, has ...

May 2025 40450379
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility

Healthcare decision-making represents one of the most challenging domains for Artificial Intellige...

MotionPersona: Characteristics-aware Locomotion Control

We present MotionPersona, a novel real-time character controller that allows users to characterize...

S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-Identification

In this paper, we leverage the advantages of event cameras to resist harsh lighting conditions, re...

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models

Urban design is a multifaceted process that demands careful consideration of site-specific constra...

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation

The latest advancements in multi-modal large language models (MLLMs) have spurred a strong renewed...

An end-to-end mass spectrometry data classification model with a unified architecture.

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rap...

May 2025 40447698
Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning

Photoacoustic microscopy holds the potential to measure biomarkers' structural and functional stat...

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