Geriatrics

Clinical implementation of AI for vertebral fracture detection in CT aligned with fracture liaison services: high prevalence of undiagnosed vertebral fractures.

UNLABELLED: We assessed feasibility and effectiveness of AI-based VF screening in CT, integrated wit...

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing rese...

Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease.

Machine learning enables scalable quantification of neuropathology, offering deeper phenotyping of A...

EENet-RLA: An Explainable Prediction Learning Framework for Alzheimer's Disease Classification from EEG Signals.

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder affecting millions worldwide. Ele...

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement.

BACKGROUND: Assessing radiographic bone condition is important for periodontal diagnosis. The accura...

GenX-associated molecular signatures overlap with testicular aging and male infertility: a multi-omics integration analysis.

GenX (HFPO-DA), a short-chain per- and polyfluoroalkyl substance (PFAS) substitute, is implicated in...

A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study.

AIMS: In wearable-based automated cardiac arrest detection technology, photoplethysmography (PPG) is...

Resource-stratified machine learning framework for cognitive status classification and mild cognitive impairment to dementia progression prediction.

Artificial intelligence-based biomarkers for the diagnosis and treatment of neurological conditions: a narrative review.

Artificial intelligence (AI) is transforming biomarker discovery in neurology by overcoming key limi...

Association of stress hyperglycemia ratio with the incidence of delirium in critically ill patients: a retrospective cohort study with exploratory machine-learning analyses.

Evaluation of kidney biological age based on IgG N-glycosylation profiles and its association with chronic kidney disease in the context of predictive, preventive and personalized medicine.

BACKGROUND: Chronic kidney disease (CKD) is associated with premature aging, which reflects in the d...

Machine learning prediction model for delirium after heart valve replacement with cardiopulmonary bypass: A large-scale cohort study.

OBJECTIVE: Postoperative delirium (POD) is a common and severe complication following heart valve re...

Machine Learning-Integrated Pharmacophore, DFT Analysis, and molecular dynamics of Diosmetin as a potent ache inhibitor with neuroprotective activity in a Scopolamine-Induced alzheimer's zebrafish model.

Alzheimer's Disease (AD) is a degenerative disorder of the brain that causes a gradual loss of cogni...

Exploring feature importance in machine learning for neuroimaging traits in Alzheimer's disease across a multiethnic cohort.

BackgroundAlzheimer's disease (AD) affects 55 million people worldwide, projected to reach 139 milli...

Inferring preoperative cognitive function from intraoperative electroencephalography in elderly patients using machine learning.

To develop and evaluate machine learning (ML) models that infer preoperative cognitive function from...

AI-Driven Mental Health Support for Caregivers of Individuals With Alzheimer Disease: Systematic Literature Review and Development of a Conceptual Framework.

BACKGROUND: Caregivers supporting individuals with Alzheimer disease and related dementias (AD/ADRD)...

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies.

BACKGROUND: Alzheimer disease and related dementias are increasing worldwide, with early detection d...

Possible cross‑talk between sarcopenia and obstructive sleep apnea revealed by WGCNA analysis and machine learning.

BACKGROUND: Emerging evidence suggests a potential link between obstructive sleep apnea (OSA) and sa...

Can health technologies be "care optimizers"? A normative evaluation of digital health technologies in light of postphenomenological reflections.

The integration of new technologies such as artificial intelligence (AI) into healthcare has initiat...

Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes.

Various Magnetic Resonance Imaging modalities were developed to explore the brain. Among them, funct...

Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.