Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Subcategories: Sepsis
Showing 778-798 of 5,053 articles
Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study.

BACKGROUND: Automated structuring of radiology reports is essential for data utilization and the dev...

Feb 2026 41764068
Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

BACKGROUND: Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option ...

Feb 2026 40862677
Explainable Machine Learning for Coma Outcome Prediction Based on Structural and Functional Brain MRI.

OBJECTIVES: Advanced MRI is recommended for the clinical evaluation of patients with coma. However, ...

Feb 2026 41757998
AI-enhanced therapeutic drug monitoring for vancomycin and β-lactam antibiotics in critical care: from population PK to bedside algorithms.

INTRODUCTION: Although sepsis and other severe infections in intensive care are common and deadly, o...

Feb 2026 41760398
Fcer1g and St3gal1: Macrophage-associated angiogenesis biomarkers and therapeutic targets in sepsis-induced acute lung injury.

BACKGROUND: Acute lung injury (ALI) involves the release of growth factors and inflammatory mediator...

Feb 2026 41758834
Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for ...

Feb 2026 41810134
Integrating Clinical Modeling and Machine Learning for Risk Assessment of Paracetamol and Other Nonsteroidal Anti-Inflammatory Drug Hypersensitivity in Children.

BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-r...

(2)
Feb 2026 41763303
Machine learning-enabled early risk stratification of β-Iactam-induced electrolyte imbalances.

AIMS: To estimate the incidence of β-lactam/β-lactamase inhibitor - associated electrolyte imbalance...

(1)
Feb 2026 41755534
Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

Feb 2026 41759300
Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV.

Endothelial dysfunction is an important risk factor for the progression of sepsis. The simplified en...

Feb 2026 41741568
Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset.

OBJECTIVES: Predicting mortality is vital for tailoring treatments, improving care and reducing cost...

Feb 2026 41748202
A device-invariant multi-modal learning framework for respiratory disease classification.

Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respi...

(2)
Feb 2026 41748911
A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scien...

Feb 2026 41749419
Association between hypothermic machine perfusion parameters and graft function in deceased donor kidney transplantation.

BACKGROUND: Kidney transplantation (KT) is the most effective treatment for end-stage renal disease....

Feb 2026 41736560
Application research on surveillance and predictive modeling of respiratory diseases in Baise City based on meteorological big data analysis.

Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have...

Feb 2026 41739200
Artificial intelligence in pediatric nephrology: current applications and emerging frameworks for evidence generation.

Artificial intelligence (AI) is rapidly transforming many areas of medicine. Pediatric nephrology ma...

Feb 2026 41739204
Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patient...

Feb 2026 41740150
A machine learning model for prediction of early-onset neonatal sepsis in low-income and middle-income countries: development and validation study.

OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fa...

Feb 2026 41741126
Explainable multimodal deep learning models for variable-length sequences in critically ill patients.

OBJECTIVE: Deep learning models have shown strong performance in predicting clinical events in criti...

Feb 2026 41747919
Real-Time MRI With Deep Learning for Efficient Evaluation of Neuromuscular Breathing Impairment.

Efficient detection of breathing impairment is critical for treatment and prognosis in neuromuscular...

Feb 2026 41756255
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