Geriatrics

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability.

BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capac...

ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-End Point Toxicity Assessment.

Computational in silico methods offer a powerful alternative to animal-based toxicity testing, which...

Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study.

BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing d...

Explainable machine learning for predicting mechanical ventilation in Alzheimer's patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IV.

Alzheimer's disease (AD) patients are particularly vulnerable to pneumonia and subsequent respirator...

A novel multi-stage attack dataset for smart home intrusion detection.

Modern homes are increasingly relying on networks of internet-connected devices for smart home appli...

Evaluating AI in leukocyte classification: performance of the AI system against 15 morphology experts.

Artificial intelligence (AI)-based digital morphology analyzers are vital for clinical hematology bu...

Application of machine learning in osteoporosis screening: a narrative review.

Machine learning has the potential to address limitations of traditional osteoporosis screening thro...

Deep learning-based automated masseter muscle area on routine CT stratifies survival in oral cancer.

OBJECTIVES: To develop and validate a deep learning model for automated masseter muscle segmentation...

Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.

ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline.

Many molecular aging biomarkers have been developed to capture heterogeneity in individual aging rat...

Radiographic evaluation of the psoas and iliopsoas muscle as predictors for spinal cord ischemia after fenestrated and branched endovascular aortic repair.

OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischem...

Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approach.

Accurate, fast, and interpretable fault identification on electrical transmission lines is essential...

Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.

OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing f...

Dual-model deep learning for Alzheimer's prognostication.

Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current pre...

Vocal Age Gap as a Noninvasive Biomarker for Early Detection of Laryngeal Cancer Using Deep Learning.

OBJECTIVES: Early vocal changes such as hoarseness or voice fatigue are common and often attributed ...

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems.

BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can...

Quinoa bioester application shifts human skin proteome toward molecular profiles associated with younger age.

Skin aging involves complex molecular changes that current strategies struggle to reverse. Here, we ...

Identification and experimental validation of aging-related biomarkers in intervertebral disc degeneration.

Intervertebral disc degeneration (IDD) is a prevalent disease with an increasing incidence, and agin...

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing cou...

Assessing racial disparities in dementia-related vulnerabilities: a machine learning analysis of social, environmental, and climate factors.

INTRODUCTION: Racial differences in exposure to area-level social determinants of health (SDoH) may ...