Critical Care

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

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Subcategories: Sepsis
Showing 505-525 of 5,053 articles
Machine learning-based risk prediction of 28-day mortality for sepsis patients with augmented renal clearance.

Augmented renal clearance (ARC) frequently occurs in critically ill septic patients and is known to ...

May 2026 42177280
Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.

Sepsis-induced myocardial dysfunction (SIMD) is a common and heterogeneous complication in patients ...

May 2026 42177490
Interpretable machine learning to predict postoperative adverse outcomes in cardiac surgery.

BACKGROUND: Cardiac surgery is associated with significant mortality and complication risks. This st...

May 2026 42174418
Nomogram and machine learning models for predicting the risk of delirium in ICU patients with NSTEMI.

Delirium is a frequent and clinically consequential complication among patients admitted to the inte...

(1)
May 2026 42175512
Application of machine learning to predict bronchiolitis severity in children: a single-centre retrospective cohort study.

UNLABELLED: Several severity scores have been developed to assess disease severity in infants with b...

May 2026 42171780
Transcriptome and experimental verification identified candidate biomarkers related to mitochondrial metabolism in sepsis-associated encephalopathy.

BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, b...

(3)
May 2026 42172235
An explainable machine learning model for early pediatric sepsis prediction using cytokine and routine laboratory data.

BACKGROUND: Early sepsis diagnosis in children remains challenging due to nonspecific presentations....

May 2026 42174201
Statistical Models Addressing Acute Respiratory Diseases: A Scoping Review.

This review highlights the application of statistical models in addressing respiratory diseases worl...

May 2026 42174783
Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Despite the advances in critical care and innovations of medical technology, earlier identification ...

May 2026 42174888
Assessing AI-Based Decision Support in Early Sepsis and AKI Recognition.

Sepsis and acute kidney injury (AKI) remain among the most critical conditions in acute care, associ...

(2)
May 2026 42174890
Diagnostic Accuracy of Pressure Injury Risk Assessment Tools for Critically Ill Patients: A Systematic Review and Network Meta-Analysis.

AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure inju...

May 2026 42169388
Artificial Intelligence Algorithm to Monitor Inspiratory Muscle Effort and Patient-Ventilator Dyssynchrony During Mechanical Ventilation.

OBJECTIVE: Current methods for estimating inspiratory muscle pressure (Pmus) during mechanical venti...

May 2026 42165647
Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisa...

(1)
May 2026 42167899
[Automated analysis of mandibular movements for the screening of obstructive sleep apnea].

INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly ...

(1)
May 2026 42168007
Machine learning modeling of vegetation and limited two dimensional urban morphology effects on land surface temperature in Osaka using open data.

Urban heat islands (UHI) significantly elevate land surface temperatures (LST) in high-density subtr...

May 2026 42168365
A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainability.

Deep learning models for brain tumor diagnosis often lack interpretability beyond qualitative visual...

May 2026 42168501
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