Critical Care

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

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Showing 484-504 of 5,076 articles
Clinician preferences for explainable AI in critical care: a comparative study of interpretable models and visualizations for intubation decision support.

BACKGROUND: The complexity of many AI models hinders their clinical adoption because the clinicians ...

Jan 2026 41570512
Interpretable machine learning model for predicting in-hospital mortality in elderly acute pancreatitis: Development and validation in a multicenter cohort.

BACKGROUND: Elderly acute pancreatitis (AP) patients face significantly higher in-hospital all-cause...

Jan 2026 41570423
A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pn...

Jan 2026 41548530
Gene Modification: Exploring the potential in treating kidney diseases.

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow b...

Jan 2026 41554351
Plasma glutamic acid predicts myelosuppression and mortality in septic patients using machine learning.

Myelosuppression is a common secondary manifestation of sepsis and is associated with increased morb...

Jan 2026 41545523
DynaGraph: interpretable dynamic graph learning for temporal electronic health records.

Electronic health records (EHRs) capture evolving physiological processes, yet most machine learning...

Jan 2026 41545647
A graph-based spatio-temporal framework for predicting safety-critical pedestrian-vehicle interactions at unsignalized crosswalks.

Pedestrian safety remains a critical global concern, especially in countries like India, where unsig...

Jan 2026 41547101
Prognostic Significance of Computed Tomography Severity Score for Machine Learning Prediction of Intensive Care Unit Admission in COVID-19 Patients.

OBJECTIVE: The computed tomography-severity score (CT-SS) quantifies the severity of pulmonary invol...

Jan 2026 41536171
A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications.

The immune defense function protecting the body from invasive pathogens is a key indicator of an ind...

Jan 2026 41536212
Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches.

BACKGROUND: Chronic kidney disease is a growing public health problem worldwide, and the number of p...

Jan 2026 41540661
Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Metals in PM2.5 are closely associated with cardiopulmonary disease endpoints, potentially attributa...

Jan 2026 41547395
Robust multimodal mental workload classification: A cross-physiological condition machine learning approach.

BACKGROUND AND OBJECTIVE: Aircraft pilots can be faced with a high mental workload (MW) combined wit...

Jan 2026 41576780
Cross-sequence semi-supervised learning for multi-parametric MRI-based visual pathway delineation.

Objective.Accurately delineating the visual pathway (VP) is crucial for understanding the human visu...

Jan 2026 41406603
A Novel Hybrid Model Based on GAN and Stacking for Improving Minority Class Detection in an Imbalanced Dataset of Endotracheal Tubes Position Errors.

Endotracheal tube (ETT) abnormal positioning diagnosis based on chest X-ray images can lead to error...

Jan 2026 41535602
Integrating single-cell and bulk transcriptomes with machine learning reveals a CAF signature for immunotherapy response in dMMR endometrial cancer.

BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME)...

Jan 2026 41535649
Communicable diseases platform (CDP): Real-Time clinical analytics for infections.

OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantl...

Jan 2026 41539127
Development of a new tool for prediction of hospital length of stay and intensive care needs in trauma patients using Machine Learning.

BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and...

Jan 2026 41571542
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