Critical Care

SARS-CoV-2 variant-dependent alterations in nasopharyngeal microbiota and host inflammatory response.

The SARS-CoV-2 pandemic saw multiple outbreaks occur over short periods. This was linked to the viru...

Evaluating COPD care assistance: a comparative study of ChatGPT-3.5, ChatGPT-4.0, and ERNIE bot performance.

BACKGROUND: Large language model (LLM) chatbots are increasingly used to provide health information,...

Composition-aware and leakage-controlled sparse log-ratio learning for mortality classification from respiratory microbiome profiles.

BACKGROUND: Respiratory microbiome profiles contain compositional information that may complement cl...

Navigating the translational chasm: a scoping review of large language models and hybrid architectures in intensive care.

Foundation models, particularly large language models, can process the unstructured data central to ...

Clinical characteristics and risk factors for intensive care unit admission and mortality in rapid response team-activated ward patients: a retrospective cohort study at a tertiary hospital in South Korea.

BACKGROUND: Factors driving intensive care unit (ICU) transfer decisions and mortality after rapid r...

Retraction notice to "An optimized machine learning model for predicting hospitalization for COVID-19 infection in the maintenance dialysis population" [Computers in Biology and Medicine 165 (2023) 107410].

Meeting Report: 39th International Conference on Antiviral Research in Prague, Czech Republic, April 27-May 1, 2026.

The 39th International Conference on Antiviral Research (ICAR), hosted by the International Society ...

Anticipated Barriers and Facilitators to the Implementation of an AI Tool Advising on the Placement of Mitigation Strategies to Improve Air Quality in the Hospital Setting: Qualitative Study.

BACKGROUND: AI is increasingly prevalent within health care; however, its implementation within the ...

Automating Injury Severity Score Calculation From Free-Text Discharge Diagnoses Using Domain-Specific Retrieval-Augmented Large Language Models: Retrospective Validation Study.

BACKGROUND: Trauma registries are crucial for evaluating the prognosis of injuries and the quality o...

Association between iron metabolism biomarkers and all-cause mortality in critically ill patients with sepsis: a retrospective cohort study.

BACKGROUND: Iron metabolism disorders were frequently observed in sepsis, yet their association with...

Digital health and artificial intelligence in paediatric respiratory medicine: what clinicians need to know and what is coming next.

Digital health and artificial intelligence (AI) are increasingly part of paediatric respiratory clin...

Comparative Effectiveness of Phenobarbital vs Diazepam for Alcohol Withdrawal Syndrome.

IMPORTANCE: Phenobarbital use for alcohol withdrawal syndrome is increasing, but its effectiveness a...

Explainable Machine Learning Model for Personalized Assessment of the Need for Intensive Care in Patients with Myasthenia Gravis Based on Phenotype and Inflammatory Markers.

BACKGROUND: Early identification of myasthenia gravis (MG) severe exacerbations that require intensi...

Screening for Left Ventricular Dysfunction in Sepsis Using a Smartphone ECG Analysis Application: A Multicenter Validation Study.

BACKGROUND: Sepsis-induced left ventricular (LV) dysfunction complicates fluid resuscitation, increa...

[Acute respiratory distress syndrome secondary to severe pneumonia: how to perform precise and individualized assessment].

Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise...

Patient-ventilator asynchronies beyond the waveform.

PURPOSE OF REVIEW: Patient-ventilator asynchrony is commonly treated as a technical mismatch requiri...

Targeting delirium in gastric surgery: An interpretable predictive model and statistical analysis in critical care.

BackgroundPostoperative delirium is a serious complication in elderly ICU patients after gastric sur...

Machine learning models for prediction of continuous positive airway pressure failure and high-flow nasal cannula failure in preterm neonates with respiratory distress.

UNLABELLED: This study aims to develop and internally validate separate machine learning models pred...

Norepinephrine-driven neutrophilic inflammation accelerates ulcerative colitis progression.

OBJECTIVES: The role of the sympathetic neurotransmitter norepinephrine (NE) in ulcerative colitis (...

A Machine Learning Approach to Respiratory Biomechanics: Identifying a PCA-Derived Membrane-Volume Coupling Pattern in Post-COVID Pulmonary Function.

BACKGROUND: Persistent dyspnoea after COVID-19 may not be fully explained by conventional pulmonary ...

Does it Fit? Testing a Novel Pediatric Surgical Risk Calculator in Africa.

BACKGROUND: Low- and middle-income countries (LMICs), particularly Sub-Saharan Africa, experience a ...