Hospitalists

Clinical Subphenotypes and Short-Term Outcomes in PICU Patients Receiving Continuous Blood Purification.

OBJECTIVES: To characterize clinical heterogeneity among PICU patients receiving continuous blood purification (CBP) and identify data-driven subphenotypes associated with distinct short-term outcomes. DESIGN: Multicenter, retrospective cohort study. SETTING: Fifteen PICUs (from January 2019 to August 2024). PATIENTS: Children (1 mo to 18 yr) receiving CBP during PICU hospitalization. INTERVENTION...

Large language models in spine care and research.

BACKGROUND: Large language models (LLMs) have emerged as powerful transformer-based systems capable of capturing long-range dependencies and complex semantic relationships in clinical language. In this review paper, we first examine the technical foundations of medical LLMs, including transformer architecture, attention mechanisms, training paradigms, and retrieval-augmented generation. RESULTS: W...

What predicts prolonged length of stay after surgery for cervical spondylotic myelopathy? A QOD CSM study.

OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...

When algorithms don't care: physiotherapy and the post-professional turn.

Physiotherapy has long resisted the forces that restructured manufacturing, journalism, and finance. This resistance is ending. Drawing on Gilles Dele...

Postoperative Nocardia cyriacigeorgica infection after glioblastoma resection: correlating metagenomic next-generation sequencing with conventional microbiology.

Postoperative nocardial infection after cranial surgery is rare and difficult to diagnose because Nocardia spp. grow slowly in conventional culture. M...

Clinically interpretable prediction models of stroke functional outcomes: A national cohort study of adults in inpatient rehabilitation facilities in the US.

OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for adults with stroke using only variables from the ...

Critical Care-Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study.

BACKGROUND: The emergency intensive care unit (EICU) manages the most critically ill patients, where rapid and accurate diagnosis is essential yet cha...

Evaluation of e-health interventions to strengthen nursing care in the neonatal intensive care unit: A systematic review.

PURPOSE: This review explores how e-health interventions are utilized within neonatal intensive care units to support nursing practice, with particula...

Harnessing compound flood risk assessment Utilizing a physics-informed GeoAI surrogate framework considering social vulnerability sources.

Compound flooding (CF), driven by the interaction of extreme storm surge, rainfall, and river discharge, poses escalating risks to society, especially...

Editorial Commentary: Consider Using Artificial Intelligence to Revise Your Discharge Instructions Because It Improves Readability and Understandability, and It's Free.

Written discharge instructions are ubiquitous in surgical practice, and the readability and understandability of instructions have been shown to signi...

Predicting Readmissions or Post-Discharge Mortality After Cardiac Surgery with Machine Learning Using an Australian Database.

AIM: This study aimed to create machine learning algorithms using the Australian & New Zealand Society of Cardiac & Thoracic Surgeons (ANZSCTS) Databa...

Implementation and Evaluation of an AI-Assisted Telerehabilitation System for Postdischarge Continuation of Rehabilitative Care: Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...

Serum Receptor-Interacting Protein Kinase 3 (RIPK3) Is Associated with Transplant-Free Survival in Acute Liver Failure.

BACKGROUND AND AIMS: Prognostication in acute liver failure (ALF) due to acetaminophen (APAP) and other causes of drug-induced liver injury (DILI) rem...

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health burden, disproportionately affecting low- and middle-income countries (LMICs) w...

Physics-informed hybrid GR4J-XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis.

Accurate streamflow prediction remains challenging due to the nonlinear and dynamic nature of rainfall-runoff processes. Conceptual hydrological model...

What predicts postoperative opioid prescribing and consumption? A statewide analysis of surgical quality registry data.

OBJECTIVE: Tailoring postoperative opioid recommendations to patient needs requires nuanced understanding of factors contributing to post-discharge op...

Clinical and Echocardiographic Factors Associated With AI-Estimated Atrial Fibrillation Likelihood During Sinus Rhythm in Patients With Documented Paroxysmal Atrial Fibrillation.

BACKGROUND: Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising tool for identifying patients with atrial fibrilla...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

Predicting Next-Day Passive Suicidal Ideation in At-Risk Youth.

INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.

OBJECTIVE: Evaluate the importance of specific variables contributing to a recently reported Artificial Intelligence (AI) prediction model called Sydn...