Geriatrics

Body composition's effect on the bone-vascular axis of osteoporosis discovered in AI-based CT analysis of COPD patients.

OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationsh...

Principles for medical students' responsible use of generative AI: a student-partnered Delphi study.

BACKGROUND: Due to the widespread use of generative artificial intelligence (GenAI) in undergraduate...

Automated generation of structured breast ultrasound reports using BreastViT and ChatGPT.

BACKGROUND: Breast cancer is the most common malignancy in women. Ultrasound plays a critical role i...

Diagnostic challenges in re-emerging rickettsioses: why current tools fall short.

SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhu...

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing.

BACKGROUND: Depression in older adults is often underdiagnosed due to atypical symptom presentation ...

CausalTCC: causal temporal contrastive learning for automated Alzheimer's disease biomarker discovery with bio-electrical signals.

OBJECTIVE: Learning robust representations from scarce labeled bio-electrical time-series data remai...

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

Intravoxel incoherent motion (IVIM) is a diffusion-weighted magnetic resonance imaging (MRI) method ...

Innovation districts and transformative workspaces: A scoping review of AI-pet robots companionship for aging employees balancing productivity and wellbeing.

BACKGROUND: Considering the future of work and an aging workforce, emerging technologies such as art...

Variations of global brain asymmetry are associated with aging and related diseases.

Lateralization is a hallmark of brain organization, yet the structural basis underlying this phenome...

Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults.

This study aimed to develop and validate an explainable machine learning model for predicting sarcop...

An explainable machine learning model for predicting one-year osteoporosis risk: development and validation in a prospective cohort.

OBJECTIVE: This study aimed to develop and validate an interpretable machine learning model using re...

Readability and Linguistic Characteristics of Alzheimer's Disease and Related Dementias Prevention, Symptom, and Treatment Information from Generative Artificial Intelligence Chatbots.

PURPOSE: To examine the readability and linguistic characteristics of Alzheimer's disease and relate...

NeuroHarm‑Kit: An Open‑Source Toolbox for Benchmarking Deep‑Learning Harmonization of Multi‑Site T1‑Weighted MRI.

Multi‑site magnetic resonance imaging (MRI) studies enable studying brain structure across diverse p...

BHOD: a bone health optimized dietary pattern designed for osteoporosis prevention.

Existing dietary patterns were not specifically designed to target osteoporosis and lack the precisi...

Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.

BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverage...

Leveraging Swin Transformer for Enhanced Diagnosis of Alzheimer's Disease Using Multi-Shell Diffusion MRI.

OBJECTIVE: This study aims to support early diagnosis of Alzheimer's disease and detection of amyloi...

SELongVLM: Empowering Long Video Language Models With Self-Corrective Clip Selection.

Recent advances in multimodal large language models (MLLMs) have enabled impressive progress in visu...

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography.

Purpose To develop and validate an end-to-end autonomous platform for the quantification and visuali...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pa...

Beyond Discrimination: Incomplete Model Evaluation in Machine Learning for Frailty Transitions.

Prognostic significance of the endothelial activation and stress index in acute respiratory distress syndrome: a retrospective cohort study.

Endothelial cells play a crucial role in the pathogenesis of acute respiratory distress syndrome (AR...