Hospital-Based Medicine

'Malnutrition Receives High Priority': Nurses' Experiences in Providing Nutritional Support in Hospitalized Patients-A Qualitative Study.

AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing ...

Enhancing Community-Based Nursing Decision Support: Machine Learning Models for Diabetes Risk Prediction Using Home Health Nursing Notes.

OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine...

An Emerging Role of Artificial Intelligence in Pediatric Neuroanesthesia.

Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characteriz...

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...

Direct Annotation of Unstructured Clinical Progress Notes Describes Postpartum Healthcare Needs and Encounter Characteristics of Women Whose Newborns Are Immediately Hospitalized in Intensive Care.

BACKGROUND: Among children's hospitals with integrated high-risk prenatal care and birthing faciliti...

The relationship between mental health disorders and LUTS.

This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) ...

Artificial intelligence in emergency nursing: A scoping review of applications and implications.

INTRODUCTION: Artificial intelligence (AI) has advanced rapidly in healthcare; however, its applicat...

Analyzing the deep learning approach-based modeling framework to understand the critical environmental factors of predicting daily nitrate concentrations.

Continuous stream nitrate data is critical for understanding nutrient dynamics and informing managem...

Innovation in intensive care: a framework to turn ideas and concepts into actionable solutions.

INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability o...

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 ...