Geriatrics

Performance of DeepSeek-R1 and ChatGPT-5 in the Generation of North American Spine Society Clinical Guidelines for Adult Vertebral Compression Fractures: Comparative Study.

BACKGROUND: Vertebral compression fractures (VCFs) impose a substantial clinical and health care burden, and their management relies on timely access to evidence-based guidelines. Large language models (LLMs) may help clinicians rapidly obtain guideline-related information, but their performance on VCF guidelines remains unclear. OBJECTIVE: This study aimed to evaluate the performance of LLMs, inc...

The brain structure and immunometabolic mechanisms underlying the association between frailty and dementia.

BACKGROUND: Physical frailty, characterized by heightened sensitivity to stressors and decreased physiological reserves, is an established risk factor for incident dementia among older adults. However, the biological mechanisms underlying this association remain incompletely elucidated. This study aimed to dissect the potential roles of systemic inflammation, metabolic dysregulation, and accelerat...

Q&A with Carolyn S.P. Lam.

Professor Carolyn S.P. Lam is a senior consultant cardiologist at the National Heart Centre Singapore, where she founded Singapore's first women's hea...

Novel approach to early prediction of alzheimer's disease progression using integrated deep regulatory genetic neural network and optimized deep belief networks.

UNLABELLED: To enhance the prediction progression of Alzheimer's Disease is very excavating process. PROBLEM STATEMENT: It is often very difficult to ...

An interpretable multimodal framework using compact biomarkers and Kolmogorov-Arnold networks improves the early diagnosis of Alzheimer's disease.

Early diagnosis of Alzheimer's disease (AD), especially accurate identification at the mild cognitive impairment (MCI) stage, is crucial for slowing d...

A vision transformer deep learning model for assessing pediatric ileocolic intussusception severity using ultrasound images.

Timely identification of children with ileocolic intussusception likely to fail air-enema reduction is critical to avoid delays and bowel perforation....

Large language models vs. conventional search in identifying delirium guidelines for a scoping review.

BACKGROUND: A literature search of information sources is a key methodological step for evidence synthesis, including scoping reviews. This study comp...

The role of AI-assisted drug repurposing in neurological disorders: a systematic review of validation strategies, challenges and opportunities.

Neurological disorders refer to a diverse group of conditions that affect the brain, peripheral nerves, and spinal cord and impair socioemotional, cog...

Machine learning approach to analyzing complex care coordination patterns for medically complex children.

BACKGROUND: The number of children with medical complexity (CMC) in Japan has exceeded 20,000, doubling over the past 15 years, forming a significant ...

Authorship, moral responsibility, and generative AI in nursing.

The growing integration of generative artificial intelligence into academic writing has generated ethical concern regarding authorship, responsibility...

TimeSight: Kinetics-aware detection for digital nucleic acid amplification via spatiotemporal convolutional learning.

Digital nucleic acid amplification enables absolute molecular quantification by partitioning samples into thousands of micro-reactions, yet current an...

AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies.

Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep...

A Review of microRNAs in the Post-transcriptional Regulation and its Clinical Manifestation in the Polycystic Ovary Syndrome.

MicroRNAs (miRNAs) are single stranded, short, non-coding, and highly conserved RNA molecules with around 22 nucleotides. They regulate gene expressio...

MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.

Early detection of chronic kidney disease (CKD) is a critical public health priority. However, a gap exists for non-invasive tools to guide screening ...

Integrative profiling of senescence-associated cells and genes identifies UGT1A7 as a prognostic and therapeutic target in Lung squamous cell carcinoma.

Lung Squamous Cell Carcinoma (LUSC), a common subtype of non-small cell lung cancer, primarily occurs in elderly individuals and is closely linked to ...

A predictive model for early neurological deterioration in medullary infarction based on explainable machine learning.

BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterioration (END) is a common adverse event that can sig...

AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging.

Age-related cognitive dysfunction, including mild cognitive impairment and dementia, underscores the need for scalable and personalized predictive mod...

Dietary patterns and Alzheimer's disease: East-west perspectives and future intervention strategies.

Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention, have become a focus of current research due to th...

Biological aging and the incidence and progression of diabetic retinopathy and kidney disease in type 2 diabetes mellitus: A prospective cohort study.

AIMS: We examined whether phenotypic age (PhenoAge) acceleration was associated with the incidence and progression of diabetic retinopathy (DR) and di...

Development and validation of a deep learning model for radiographic classification of pediatric femoral neck fractures.

BACKGROUND: The Delbet-Colonna (DC) classification guides treatment of pediatric femoral neck fractures (PFNFs) but relies on clinical experience. No ...