Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 148-168 of 9,027 articles
Explainable machine learning and feature interpretation to predict survival outcomes in the treatment of lung cancer.

The treatment outcomes of lung cancer are highly variable, and machine learning (ML) models provide ...

Exploring voice as a digital phenotype in adults with ADHD.

Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subject...

Long COVID's Hidden Complexity: Machine Learning Reveals Why Personalized Care Remains Essential.

Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...

Construction and Multi-dimensional Validation of a Lactylation-Related Signature for Glioblastoma Multiforme Prognostic and Therapeutic Purposes.

Glioblastoma multiforme, one of the most malignant types of brain tumor, heavily relies on glycolyti...

Semen HPV and IVF: insights from infection prevalence to embryologic outcomes.

PURPOSE: Human papillomavirus (HPV), the most common sexually transmitted infection, has been propos...

Zero-shot large language model application for surgical site infection auditing.

INTRODUCTION: Artificial intelligence, in particular large language models (LLM), may be able to ass...

Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with ...

Combatting with β-Lactam Antibiotics: A Revived Weapon?

is a significant threat to public health as an aggressive, opportunistic pathogen. The use of β-lac...

Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers.

In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterat...

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population.

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction....

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...

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...

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...

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...

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...

From Preliminary Urinalysis to Decision Support: Machine Learning for UTI Prediction in Real-World Laboratory Data.

: Urinary tract infections (UTIs) are frequently diagnosed empirically, often leading to overtreatme...

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