Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 631-651 of 7,129 articles
Classification of spinal tuberculous infection, pyogenic infection and spinal metastasis from magnetic resonance imaging using machine learning.

BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal...

(1)
May 2026 42082966
CARS-AMP: A Simple and Efficient Deep Learning Model for Antimicrobial Peptide Prediction.

With the increase in global antibiotic resistance, there is an urgent demand for antibiotic substitu...

May 2026 42066253
AI for Hospital Infection Prevention and Control: Real-World Implementation, Impact, and the Gap Beyond Model Development.

BACKGROUND: Artificial intelligence and machine learning (AI/ML) may strengthen hospital infection p...

Apr 2026 42069224
Using Generative Artificial Intelligence to Identify Central Line-associated Bloodstream Infections.

BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and pub...

Apr 2026 41253177
Exploring the mechanisms and management of sepsis-related cardiac dysfunction.

Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality ...

Apr 2026 42059147
Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significa...

(1)
Apr 2026 42060923
Identification and Screening of Lactate-Related Genes as Molecular Markers for Early Diagnosis of Steroid-Induced Osteonecrosis of the Femoral Head.

Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young...

Apr 2026 41982156
[Machine learning models to predict intestinal necrosis in acute mesenteric venous thrombosis].

Objective: To develop and validate machine learning-based models for predicting the risk of transmur...

(2)
Apr 2026 42056060
Early prediction of declining health associated with helminth infection in small ruminants using accelerometers and machine learning.

Assessment of the health status of individual animals is a key step in the timely and targeted treat...

Apr 2026 42067051
Machine learning to diagnose, classify and predict phenoconversion in isolated REM sleep behavior disorder.

Rapid eye movement (REM) sleep behaviour disorder (RBD), particularly its idiopathic/isolated form (...

(2)
Apr 2026 42068794
Repurposing Clinical Candidates for Nipah and Hendra Viruses.

Nipah virus (NiV) and Hendra virus (HeV) are bat-borne zoonotic paramyxoviruses that cause severe an...

Apr 2026 42052926
Quantitative three-dimensional imaging of Coxiella burnetii infection by focused ion beam-scanning electron microscopy.

Coxiella burnetii is a highly virulent intracellular pathogen and the causative agent of acute and c...

(1)
Apr 2026 42053426
An integrated wearable microfluidic electrochemical/colorimetric intelligent sensing platform for comprehensive sweat analysis.

Flexible wearable devices have attracted widespread attention in digital healthcare and personalized...

Apr 2026 42061345
Therapeutic targeting of Respiratory Syncytial Virus: Current pharmacological options and future directions in antiviral development.

Respiratory syncytial virus (RSV) remains a major cause of severe acute respiratory infections acros...

Apr 2026 42068597
AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical ...

(3)
Apr 2026 42055875
Cost-effectiveness of infection prevention and control measures for carbapenem-resistant Gram-negative bacilli: A systematic review protocol.

INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (C...

Apr 2026 42049306
Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be ...

(1)
Apr 2026 42043180
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