Critical Care

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

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Subcategories: Sepsis
Showing 1114-1134 of 5,053 articles
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy.

BACKGROUND AND OBJECTIVE: In lung radiotherapy, infrared cameras can track reflective objects on the...

(1)
May 2025 40499344
Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

May 2025 40398532
Mapping Artificial Intelligence Research Trends in Critical Care Nursing: A Bibliometric Analysis.

BACKGROUND: Recent development in AI-driven predictive analytics have demonstrated potential to enha...

May 2025 40416415
Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis.

OBJECTIVE: The aim of our study was to establish and validate a machine learning-based predictive mo...

(1)
May 2025 40416709
Identification and Experimental Validation of Biomarkers Associated With Mitochondria and Macrophage Polarization in Sepsis.

Sepsis is a common and serious condition, where mitochondria and macrophage polarization play a cru...

May 2025 40421007
Identification of Fatty Acid Metabolism Disorder-Related Gene Signature in Septic Cardiomyopathy.

BACKGROUND: Septic cardiomyopathy (SCM) is a prevalent complication of sepsis and a primary contribu...

(1)
May 2025 40406682
Discrimination of Respiratory Tract Infections by a Reduced Graphene Oxide Array Modified with Metal-Organic Frameworks and Metal Phthalocyanines.

As a prevalent clinical condition, it is critical to distinguish between bacterial and viral respira...

May 2025 40375749
Identification of Key Genes and Potential Therapeutic Targets in Sepsis-Associated Acute Kidney Injury Using Transformer and Machine Learning Approaches.

Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication of sepsis, charact...

May 2025 40428155
Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique.

: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is assoc...

May 2025 40429489
Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...

May 2025 40370218
Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, ps...

May 2025 40372782
Exosomes derived from human umbilical cord mesenchymal stem cells attenuate senescence of peritoneal mesothelial cells by inhibiting oxidative stress.

OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), c...

May 2025 40354711
Heat to hypoxia cross-adaptation: Effects of 6-week post-exercise hot-water immersion on exercise performance in acute hypoxia.

Cross-adaptation occurs when exposure to one environmental stressor (e.g., heat) induces protective ...

May 2025 40349314
Combined effects of normobaric hypoxia and cold on respiratory system responses to high-intensity exercise.

Cold temperatures (<-15°C) increase exercise-induced bronchoconstriction (EIB), while hypoxic-induce...

(2)
May 2025 40349318
A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

(2)
May 2025 40341412
Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.

Electronic Health Records (EHRs) serve as a comprehensive repository of multimodal patient health da...

(2)
May 2025 40352427
Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit.

BACKGROUND: The incidence of ventilator-associated pneumonia (VAP) in ischemic stroke (IS) patients ...

May 2025 40401025
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