Geriatrics

The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).

This paper presents a bibliometric analysis of the fast-growing area of deep learning in neuroimagin...

Novel two-stage deep learning framework for automated pressure injury classification.

OBJECTIVE: The study aims to develop an artificial intelligence (AI) framework for automatic pressur...

Parvalbumin Neuron-Targeted Loss of Alzheimer's Disease Risk Gene BIN1 Is Insufficient to Drive Cognitive or Network Excitability Changes.

Bridging integrator 1 (BIN1) is one of the strongest genetic risk factors for Alzheimer's disease (A...

Exploring the association between Frailty Index and Knee osteoarthritis in middle-aged and older Chinese adults: A cross-sectional analysis of data from the China Health and Retirement Longitudinal Study.

OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in C...

Screening for Alzheimer's disease in the community using an AI-driven screening platform: design of the PREDICTOM study.

BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the a...

Characterizing heterogeneity and subphenotyping acute respiratory distress syndrome with computed tomography.

Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome rather than a single...

Corrigendum to "Enhancing dementia risk prediction with heart rate and machine learning in the Canadian Longitudinal Study on Aging".

Toward Robust End-to-End Delay Prediction: A GNN Approach With Routing-Aware Attention and Masked Subgraph Sampling.

The end-to-end delay prediction is critical for intelligent network management, particularly in late...

Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer's disease: a machine-learning approach.

OBJECTIVE: We evaluated the accuracy of standard machine learning (ML) algorithms in predicting 1-ye...

Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.

The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it ...

Assessing ChatGPT and Gemini Responses to Common Patient Questions Regarding Augmentation Mammaplasty.

BACKGROUND: Large language models (LLMs) are becoming a common source of medical information for pat...

YOLO11-BSCS: an enhanced attention-optimized framework for real-time indoor flame and smoke detection in elderly care mobile robots.

Ultrastructural Evidence of Altered Dendritic Morphology in the Prefrontal Cortex of Alzheimer's Model Rats.

Alzheimer's disease (AD) is a neurodegenerative disorder with synaptic pathology as a core theme in ...

Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities.

BACKGROUND: Early detection of Alzheimer disease (AD) is essential for timely intervention; yet, dia...

Transcriptomic advances in studies of muscle stem cell aging: From bulk to single-cell and beyond.

Advances in transcriptomic technologies have progressively transformed the questions we can ask and ...

Whole-body magnetic resonance imaging for cancer screening in asymptomatic adults: a multicenter study.

OBJECTIVES: Whole-body MRI is increasingly used for preventive health screening; however, the preval...

TSMPI-Net: a time-series generative adversarial network for short-frame-interval magnetic particle imaging.

OBJECTIVE: Magnetic particle imaging (MPI) is an emerging imaging modality that offers high sensitiv...

Research on Alzheimer's Disease Risk Assessment Models and Biomarker Screening Based on Bioinformatics Analysis and Machine Learning Algorithms.

INTRODUCTION: Alzheimer's Disease (AD) is among the most prevalent neurodegenerative disorders globa...

Building and Validating an Explainable Machine Learning Model for Predicting Health-Promoting Behaviors in Older Adults: A Multicenter Study.

Enhancing health-promoting behaviors (HPBs) in older adults is crucial for chronic disease managemen...

A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study.

BACKGROUND: Medical ambient artificial intelligence (AI) scribes reduce documentation burden, but th...

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study.

BACKGROUND: The promise of artificial intelligence (AI) in medicine depends on its ability to learn ...