Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 64-84 of 9,027 articles
Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning.

The unrelenting progression of Parkinson's disease (PD) leads to severely impaired quality of life, ...

Optical coherence tomography for early detection of crop infection.

BACKGROUND: Fungal diseases are among the most significant threats to global crop production, often ...

Advancements in Tuberculosis Diagnostics: An Update.

Tuberculosis (TB) is one of the major life-threatening diseases caused by a single pathogen which ha...

5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...

Imaging Based Surgical Site Infection Detection Using Artificial Intelligence.

OBJECTIVE: To develop an AI-based pipeline to assess and triage patient-submitted postoperative woun...

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in pa...

Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.

For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance acc...

A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significa...

Rapid detection of antibiotic resistance in Burkholderia pseudomallei using MALDI-TOF mass spectrometry.

Antibiotic resistance in Burkholderia pseudomallei (Bp) is a growing public health concern requiring...

Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.

Sepsis is a life-threatening condition that presents substantial challenges to healthcare and pharma...

Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.

Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infectio...

Development and validation of a modified SOFA score for mortality prediction in candidemia patients.

Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particu...

Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...

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