Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

7,129 articles
Stay Ahead - Weekly Sepsis research updates
Subscribe
Browse Categories
Critical-Care Subcategories: Sepsis
Showing 904-924 of 7,129 articles
Advances in multi-omics for esophageal squamous cell carcinoma: Diagnostic, prognostic, and therapeutic perspectives.

Esophageal squamous cell carcinoma (ESCC) remains a major health burden, particularly in Asia, with ...

(1)
Feb 2026 41639002
Explainable machine learning model for predicting short-term outcomes in sepsis- induced coagulopathy.

BACKGROUND: Sepsis-Induced coagulopathy (SIC) is not only a common complication in the development p...

Feb 2026 41639652
Association of lactate-to-albumin ratio with 28-day mortality in elderly sepsis patients: a retrospective MIMIC-IV database analysis.

BACKGROUND: The lactate-to-albumin ratio (LAR) is correlated with mortality in critically ill patien...

Feb 2026 41639792
Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure...

Feb 2026 41637463
Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases.

BACKGROUND: Antimicrobial resistance (AMR) poses a global threat to public health, though AI models ...

Feb 2026 41629934
Validation of a Trained AI Imaging Model for Detecting Diabetic Foot Deformities.

Diabetes is a leading cause of morbidity and mortality, contributing to complications such as cardio...

Feb 2026 41621432
Explainable Temporal Inference for Irregular Multivariate Time Series. A Case Study for Early Prediction of Multidrug Resistance.

OBJECTIVE: Many healthcare problems involve complex patient trajectories represented as Multivariate...

Feb 2026 40699965
Neural Prediction Errors as a Unified Cue for Abstract Visual Reasoning.

Humans exhibit remarkable abilities in recognizing relationships and performing complex reasoning. I...

Feb 2026 41115076
Simulation-based evaluation of ChatGPT for healthcare associated infection surveillance using validated case scenarios.

BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but...

Jan 2026 41628673
Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the me...

(1)
Jan 2026 41732270
Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies.

Identifying conserved, immunogenic proteins that confer protection against Streptococcus pneumoniae ...

Jan 2026 41621114
How ready are we to use artificial intelligence in our fight against Antimicrobial resistance? An ESGAID and EAAS perspective.

INTRODUCTION: Antimicrobial resistance (AMR) remains one of the greatest threats to global health, r...

Jan 2026 41614375
Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study.

BACKGROUND: Venous thromboembolism (VTE) is a common and severe complication in intensive care unit ...

(1)
Jan 2026 41617215
Computational framework and machine learning approach to fractional order soil helminth infections disease model for control mechanism.

Soil-transmitted helminth (STH) infections are exceedingly common, estimated to afflict 1.5 billion ...

Jan 2026 41617773
Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning.

Colonization by carbapenemase-producing Enterobacterales (CPE) on admission to an intensive care uni...

Jan 2026 41617965
AI-Driven nanofiber platforms for essential oil delivery in dry period cows: a sustainable strategy against mastitis and antimicrobial resistance.

The routine utilisation of prophylactic antibiotics in dairy cows during the dry period has been dem...

Jan 2026 41619991
A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.

Sepsis is a complex systemic inflammatory syndrome that currently lacks stable and specific biomarke...

Jan 2026 41611834
Artificial intelligence predicts healthcare workers' antibiotic use intentions from psychological and behavioral measures across multiple theories.

Antimicrobial resistance (AMR) remains a global health priority, partly driven by non-guideline-conc...

Jan 2026 41606117
Browse Categories