Infection Control

Machine Learning Characterization of Readmissions After Chronic Subdural Hematoma Hospitalizations.

BACKGROUND AND OBJECTIVES: Readmission after chronic or subacute subdural hematoma (cSDH/sSDH) hospitalization is common, yet clinical attention and trial design have focused primarily on surgical recurrence. The full spectrum of readmission events, their clinical impact, and the heterogeneity of the affected patient population remain poorly understood. This study seeks to characterize the inciden...

American College of Surgeons NSQIP Hospital Benchmarking Using Bayesian Variational Inference to Adjust for Many CPT Codes.

BACKGROUND: Current ACS NSQIP benchmarking relies primarily on the principal Current Procedural Terminology (CPT) code for procedure-related risk adjustment because conventional regression methods cannot efficiently accommodate numerous sparse CPT variables. Although CatBoost (CATB) can incorporate multiple CPT codes to improve risk estimation, it is computationally intensive and may produce unsta...

Physician oath, followership and leadership.

Physician oaths are often treated as ceremonial relics or ethical ornaments of graduation. I have come to think they are something more demanding: ear...

An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus.

Infection is a leading cause of mortality in patients with systemic lupus erythematosus (SLE), yet effective tools for early identification of high-ri...

[Web-based translation software in clinical practice : A survey in a German university hospital including a data protection and liability perspective].

BACKGROUND: Language barriers are an obstacle in everyday clinical practice. Webbased translation software can offer a low-barrier solution. This stud...

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

OBJECTIVES: This study developed a magnetic resonance imaging (MRI)-based artificial intelligence (AI) framework for ordered pubertal olecranon bone a...

Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial.

BACKGROUND: Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acu...

[Systems saving lives: a systems-based approach to cardiac arrest management].

Out-of-hospital cardiac arrest remains a major public health challenge worldwide, with survival largely determined by the timeliness, quality, and org...

Artificial Intelligence and Large Language Models as Decision-Support Tools in Hospital Compounding Pharmacy: A Proof-of-Concept Study.

OBJECTIVES: To evaluate the efficiency and reliability of a large language model (LLM) as a decision-support tool in hospital compounding pharmacy for...

Risk-Tiered Governance for Hospital Artificial Intelligence: A Framework Synthesis and Implementation Pathway.

OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...

[Translated article] Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and...

Current overview of health technologies for antimicrobial resistance (AMR) management in hospitals: a scoping review, bibliometric analysis and technological prospecting.

INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimi...

Artificial intelligence-based model for identifying anatomical and surgical structures in the videos of laparoscopic left hemicolectomy.

BACKGROUND: Precise surgical procedures are critical to improving the survival outcomes for colon cancer patients. Currently, there is no dedicated in...

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development ...

Engineering microbial consortia for distributed signal processing.

A central goal in biology is to infer input signals from measurable readouts. Engineered biosensors are usually built to respond selectively to single...

A serum-clinical composite model for prostate cancer diagnosis: multicenter validation and CRISPR/Cas13a-based detection.

BACKGROUND: Avoidable prostate biopsies remain a persistent weakness of prostate specific antigen (PSA)- and imaging-led prostate cancer (PCa) diagnos...

Development and validation of an interpretable machine learning model for predicting in-hospital mortality among critically ill patients with liver cirrhosis.

This study aimed to develop and validate an interpretable machine learning model for early prediction of in-hospital mortality in critically ill patie...

Development and validation of a routine blood test-based model to predict in-hospital postoperative pulmonary infection in older patients with hip fracture.

BACKGROUND: Postoperative pulmonary infection (PPI) is a common and serious complication in older adults undergoing hip fracture surgery, leading to p...

Machine Learning-Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study.

BACKGROUND: Effective risk stratification in sepsis remains a critical clinical challenge. Serum lactate is a cornerstone biomarker of metabolic dysfu...

Enhancing out-of-hospital emergency care via lexical machine learning modeling of chief complaints.

Emergency medical services (EMS) professionals make high-stakes decisions in austere environments. To support out-of-hospital emergency care, we devel...