Geriatrics

Machine learning-based prediction of postoperative delirium from intraoperative EEG signal alterations in brain functional connectivity.

OBJECTIVES: Postoperative delirium (POD) is a frequent complication following cardiovascular surgery and requires timely intervention. While early risk prediction holds clinical value, practical tools remain limited. This study aims to identify EEG-based features associated with POD and evaluate their predictive potential using machine learning. METHODS: 70 patients undergoing cardiovascular surge...

Comparing ChatGPT-4 and specialist recommendations in urogynecology case management: a blinded assessment.

BACKGROUND: Large language models (LLMs) such as ChatGPT-4 are increasingly utilized in clinical medicine, yet their performance in subspecialties requiring personalized decision-making, including urogynecology, remains insufficiently understood. OBJECTIVE: Comparing the clinical acceptability of management recommendations generated by ChatGPT-4 with those of board-certified urogynecologist using ...

Comparative Mortality Risk of Aripiprazole, Olanzapine, Quetiapine, and Risperidone in Alzheimer's Disease: A Real‑World Retrospective Cohort Study with Treatment Effect Heterogeneity Analysis.

BACKGROUND: Second-generation antipsychotics (SGAs) are frequently used off-label to manage behavioral symptoms in Alzheimer's disease (AD), despite o...

AI-driven appendicular skeletal muscle mass index (ASMI) prediction and low muscle mass detection from routine hip X-rays: a novel opportunistic case finding tool.

PURPOSE: Sarcopenia diagnosis requires identifying low muscle mass (LMM), typically via dual-energy X-ray absorptiometry (DXA). However, DXA's limited...

Circulatory dietary and gut-derived metabolites predict early cognitive decline.

INTRODUCTION: A key component of disease prevention is the identification of at-risk individuals. Microbial dysbiosis in the early stages of cognitive...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions that signal leadership, mentorship, and scholarly inf...

Multi-omics and machine learning reveal a critical mediator of PRKCA in quercetin-mediated protection against Sarcopenia.

BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavon...

Accelerated Brain Aging in Young Women with Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) has been associated with structural brain alterations, suggesting accelerated brain aging. Evidence from peripher...

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease.

Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely understood pathways. Evidence suggests contributions ...

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 neuroimaging. Using data from the Scopus database, we analyze...

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

OBJECTIVE: The study aims to develop an artificial intelligence (AI) framework for automatic pressure injury (PI) staging directly from raw clinical i...

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 (AD), yet its function in the brain and role in AD r...

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 Chinese people aged 45 and above. METHODS: Data on ...

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 approval of new disease-modifying drugs against Alz...

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 disease. Patients who meet the same diagnostic cr...

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 latency-sensitive and dynamic environments. While rece...

Associations of epigenetic age acceleration with motor impairment: Evidence from the Parkinson's Progression Markers Initiative cohort.

Motor decline is a hallmark of Parkinson's disease (PD) and biological aging, yet the specific relationship between systemic biological aging and neur...

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-year cognitive decline in Alzheimer's disease patien...

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 remains unknown whether and to what degree rejuven...