Geriatrics

Use of artificial intelligence and radiomics for diagnosis and prediction of osteoporotic fractures: a systematic review.

AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually,...

Predicting cognitive frailty in older adults: an explainable machine learning model integrating radiomics and clinical features.

Estimating cognitive function score from mild cognitive impairment to moderate dementia using a hybrid model combining plasma biomarkers with electroencephalogram signal.

BackgroundPredicting cognitive function across dementia stages remains challenging. Plasma biomarker...

Integrated network toxicology and computational profiling of acetyl tributyl citrate-related mechanisms in Alzheimer's disease.

BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized...

Cost-Effectiveness of AI-Assisted Detection of Apical Periodontitis on Panoramic Radiographs.

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in...

Prognostic value of end-to-end deep learning assessment of myocardial scar and microvascular obstruction on late gadolinium enhancement cardiovascular magnetic resonance.

BACKGROUND: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the referen...

Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data.

Physical activity and mobility are critical for healthy aging and predict diverse health outcomes. W...

AI knowledge, attitudes, perceptions, and willingness to use AI among oncologists in China: a nationwide cross-sectional study.

BACKGROUND: The integration of artificial intelligence (AI) into healthcare, particularly in oncolog...

Early detection of Alzheimer's disease based on leveraging multimodal features of the clock drawing test.

BackgroundAlthough multi-task handwriting analysis has the potential to improve early detection of A...

Detecting multimorbidity patterns in Alzheimer's disease using unsupervised machine learning: A nationwide emergency department study (2007-2022).

BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with c...

From Multimodal Data to Clinical Insight: An Explainable Model for Preoperative Salivary Gland Lesion Diagnosis.

OBJECTIVE: To develop and validate a multimodal dual-step support vector machine model (SVM-DualNet)...

Deep Learning-Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study.

BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for d...

Farming Becomes More Precarious With Age: Injury in Maine Agricultural Communities, 2008-2022, via Time Series Analysis.

BACKGROUND: Fatal occupational injury rates among agricultural workers are within the top 10 most da...

Cell-type-specific transposon demethylation and TAD remodeling in aging mouse brain.

Aging is a major risk factor for neurodegenerative diseases, yet the underlying epigenetic mechanism...

Humanoid Robot-Assisted Support for Health Care in Older Adults: Systematic Scoping Review.

BACKGROUND: Humanoid robots offer a promising solution to the growing burden of care for older adult...

Establishing a relationship between iron-based blood measures and structural brain changes using neural networks in UK Biobank.

BACKGROUND: Disturbance of iron homeostasis in both the brain and blood is linked to cognitive impai...

Dual modal data-driven virtual reality-based mild cognitive Impairment assessment using MCIformer.

BACKGROUND: Mild Cognitive Impairment (MCI) assessment is critical for identifying cognitive decline...

HIF3A-mediated aberrant activation of TXNIP promotes Alzheimer's disease progression.

Oxidative stress (OS) is a hallmark of Alzheimer's disease (AD), yet the cell type-specific mechanis...

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a hig...

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures.

BACKGROUND: Triage errors in emergency departments (EDs), including undertriage and overtriage, pose...

Molecular-level understanding of the aging bone and regeneration mechanisms using computational methods.

Bone degeneration diseases, such as osteoporosis, are skeletal disorders characterized by diminished...