Hospital-Based Medicine

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation.

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic str...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (I...

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology.

Surgical complications remain a major source of preventable morbidity, mortality, and health care ex...

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

This review delineates the pivotal role of nursing and rehabilitation in perioperative management an...

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive...

From Earthly companions to extraterrestrial countermeasures: rethinking AI-mediated intimacy for long-duration spaceflight through modular autonomous intimacy companion architecture.

The prospect of multi-year missions to the Moon and Mars raises unresolved questions about intimacy,...

Deep learning‑based ultra-high-resolution CT imaging of viral pneumonia at admission and after discharge.

Physiology-informed machine learning for patient-level surgical decision-making in severe traumatic brain injury: Multicenter model development with external validation.

BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognost...

Exploring novel kinetics of automated H2O2 nebulization: a breakthrough in SARS-CoV-2 elimination.

Although hydrogen peroxide (H2O2) nebulization has shown promise for reducing SARS-CoV-2 loads in he...

Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations.

Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-u...

Periprocedural evaluation of patients with BAV stenosis undergoing TAVR: a machine learning-based study.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the pri...

Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions: a retrospective real-world study.

OBJECTIVES: To develop and evaluate an explainable machine learning framework enhanced with syntheti...

Underperformance of Machine Learning Models Predicting Readmission and Prolonged Length of Stay Following Total Knee Arthroplasty Among Underrepresented Populations: Fairness Analysis and Mitigation Strategies.

BACKGROUND: While machine learning (ML) models demonstrate high predictive accuracy, recent studies ...

Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care.

INTRODUCTION AND AIMS: For decades, orthodontic diagnosis and treatment have primarily depended on p...

Predicting one-year mortality risk in ICU patients with ischemic stroke using multi-algorithm machine learning and a nomogram.

Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care...

An Intelligent Interactive Management Platform for Rheumatoid Arthritis Care: Real-World Observational Study.

BACKGROUND: Effective postdischarge management is essential for maintaining disease control and impr...

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algori...

Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.

BACKGROUND: People with stroke face a high mortality risk, and an accurate prediction model is essen...

Parsimonious and explainable biomarker-based severity score for hospitalised patients with COVID-19-related respiratory infections: development, validation and XAI benchmarking.

BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...

An inventory of emergency department information systems (EDIS) in Canada: Benchmarking system functionality and technology readiness.

OBJECTIVES: Emergency Department Information Systems (EDIS) are essential digital technology used in...

Integrating Generative AI Into Patient-Centered Clinical Decision Support: Viewpoint on Research and Practice Considerations.

There is growing interest in understanding how generative artificial intelligence (GenAI) can suppor...