Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 988-1008 of 7,129 articles
SERS on analyte-enriched blood for rapid, culture-free sepsis recognition and causative pathogen identification with super operational neural networks.

Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture...

Dec 2025 41478040
A New Proposed Approach to Categorize Sepsis Sub-phenotypes Based on Combined Trajectories of Perfusion Index and Central Venous Oxygen Saturation.

BACKGROUND: Circulatory disturbances in sepsis are heterogeneous but may manifest as a mismatch betw...

Dec 2025 41457045
Beyond gas bubbles: AI analysis of the "bubble bed" microenvironment improves diagnosis of infected abdominal collections.

BACKGROUND: Accurate diagnosis of infected intra-abdominal fluid collections (IAFCs) is challenging,...

Dec 2025 41452460
The role of digital tools and artificial intelligence in supporting antimicrobial stewardship: Study protocol for a systematic review.

INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...

Dec 2025 41455653
The Future of Antibiotics and Artificial Intelligence: Some Thoughts from Discovery to Bedside.

Antibiotic discovery and antibiotic prescribing represent two domains that both stand to benefit fro...

Dec 2025 41442104
Vasoactive Agent Therapy in Septic Shock: From Monotherapy Battles to Tailored Hemodynamic Optimization.

Hemodynamic stabilization and preservation of organ perfusion are central elements in the management...

Dec 2025 41457050
Ensemble machine learning for early mortality risk stratification in septic orthopedic trauma: an international cohort study.

BACKGROUND: Sepsis represents a life-threatening complication in severe orthopedic trauma, significa...

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Dec 2025 41478161
Causal models and network instability in neurological and psychiatric disorders: Computational and clinical perspectives.

Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...

Dec 2025 41448497
Widely targeted metabolomics and machine learning identify succinate as a key metabolite in sepsis-associated encephalopathy.

Sepsis-associated encephalopathy (SAE) is a common and serious complication of sepsis that leads to ...

Dec 2025 41550731
Breaking resistance with machine and deep learning: A computational intelligence hunt for AmvR (TetR) inhibitors in Acinetobacterbaumannii.

Multidrug-resistant Acinetobacter baumannii infections have driven the development of innovative the...

Dec 2025 41442824
HeptaTB Dx: a diagnostic model leveraging cuproptosis-ferroptosis crosstalk for distinguishing latent from active tuberculosis.

UNLABELLED: Distinguishing latent tuberculosis infection (LTBI) from active tuberculosis (ATB) remai...

Dec 2025 41405396
Machine learning-enhanced electrochemical sensing platform for simultaneous detection of multiple antibiotics in food samples.

The increasing prevalence of antibiotic residues in food presents a significant threat to global pub...

Dec 2025 41406748
Multifactor machine learning models for predicting urinary tract infections: a pilot study.

PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone he...

Dec 2025 41385037
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities.

Burkholderia pseudomallei (BP) infections claims tens of thousands of lives worldwide every year. Th...

Dec 2025 41387664
Leveraging artificial intelligence for surgical site infection surveillance: A comparison of 5 large language models.

We conducted a retrospective study to evaluate the performance of 5 large language models in detecti...

Dec 2025 41386299
Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID.

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumula...

Dec 2025 41368891
Development and multicenter validation of a machine learning model for postoperative sepsis risk in critically Ill traumatic spinal injury patients.

OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically i...

Dec 2025 41389427
Targeting the DYNLL2-PAK1 axis inhibits caspase-11-dependent pyroptosis to alleviate sepsis.

Sepsis, a life-threatening syndrome caused by dysregulated host responses to infection, lacks effect...

Dec 2025 41360226
A pilot study: Incorporating Treponema pallidum antigens into machine learning models for accurate syphilis treatment outcome assessment.

As the reliability of nontreponemal tests for evaluating syphilis treatment efficacy is increasingly...

Dec 2025 41488775
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