Critical Care

Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.

BACKGROUND: The prediction of weaning from mechanical ventilation (MV) can support clinical decision...

Clinical Utility of LLM-assisted Chart Review for the Detection of Bleeding Events.

INTRODUCTION: Red blood cell (RBC) transfusions are frequently administered in the intensive care un...

Characterization of prostate MRI focal lesions by combining human reading, artificial intelligence and prostate-specific antigen density: A multi-reader study.

PURPOSE: The purpose of this study was to compare, across readers with varying experience, the chara...

Interpretable modeling for material transportation process in an industrial cement vertical roller mill.

Vertical roller mills (VRMs) dominate cement finish grinding because of their high efficiency and dr...

Research progress of confocal laser endomicroscopy in malignant respiratory diseases: A review.

The diagnosis and monitoring of malignant respiratory diseases are heavily reliant on imaging techni...

Artificial intelligence research in journals indexed in the web of science "infectious diseases" category: a bibliometric analysis, 2016-2025.

PURPOSE: Artificial intelligence (AI) is increasingly being applied in the field of infectious disea...

A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.

Delirium occurs frequently in emergency departments and is associated with poor outcomes and increas...

Moral distress risk profiling in ICU nurses: A cross-sectional study.

BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care ...

Open-set combustion-fingerprint classification with out-of-distribution alerting for environmental fire-hazard screening.

Fire effluent gases - carbon monoxide (CO), hydrogen cyanide (HCN), hydrogen chloride (HCl), and nit...

Development and Validation of a Machine Learning-Based Bedside Score (IPA-2T2C2DW) for Invasive Pulmonary Aspergillosis in Critically Ill Non-Neutropenic Immunocompromised Hosts.

OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data avail...

Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials.

Ventilated acoustic silencers combining strong sound attenuation with high ventilation are pivotal f...

Seismo-Mat: mattress-embedded inertial sensors for unobtrusive monitoring of heart rate, respiratory rate, and bed occupancy during sleep.

OBJECTIVE: Continuous monitoring of heart rate (HR) and respiratory rate (RR) during sleep may suppo...

Rapid Resolution of Hypoxemia is Common and Associated with Lower Mortality Among Intubated Patients with Acute Hypoxemic Respiratory Failure.

ObjectiveTo evaluate the prevalence, clinical trajectory, and biologic phenotype of patients with ra...

A Large Language Model-Based Simulation Protocol Using ChatGPT for Training Novice Critical Care Nurses in Family Crisis Communication and De-escalation.

High-stress conversations with family members in distress are a common part of the intensive care un...

Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement the...

Clonal hematopoiesis of undetermined potential as an emerging determinant of inflammageing, and age-related diseases: potential role as biomarker and target.

Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological ...

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...

Real-world evidence on antibiotic use among privately insured beneficiaries in Saudi Arabia: a retrospective analysis of claims data.

OBJECTIVES: Inappropriate and broad-spectrum antibiotic use contributes to antimicrobial resistance ...

Corrigendum to "Explainable electronic medical record-based machine learning to predict 1-year incident Protein-Energy wasting in non-dialysis chronic kidney disease: A single-center development study'' [Clin Nutr ESPEN 74 (2026) 103346].

The impact of data extraction percentage and deep learning-based reconstruction on image quality in gated PET/computed tomography.

BACKGROUND: Respiratory motion artifacts degrade PET/computed tomography (PET/CT) image quality. Dat...

Heterogeneous Treatment Effects of Renal Replacement Therapy in Critically Ill Patients: A Multicenter Observational Study Using a Japanese ICU Registry.

OBJECTIVE: Randomized trials evaluating the timing of renal replacement therapy (RRT) have informed ...