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A Data-Driven Approach to Quantifying Immune States in Sepsis

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AI Algorithms for Modeling the Risk, Progression, and Treatment of Sepsis, Including Early-Onset Sepsis-A Systematic

Karolina Tądel^1,2, Andrzej Dudek³, Iwona Bil-Lula¹

¹Department of Medical Laboratory Diagnostics, Faculty of Pharmacy, Wroclaw Medical University, 211 Borowska Street, 50-556 Wroclaw, Poland.

Journal of Clinical Medicine

|October 16, 2024

Summary

Artificial intelligence (AI) can improve the detection and management of neonatal sepsis. AI models effectively predict sepsis risk using electronic health records, aiding clinical decisions and personalized treatment.

Keywords:

artificial intelligence machine learning neonatal progression risk sepsis

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Published on: June 15, 2019

Area of Science:

Neonatal Medicine
Medical Informatics
Artificial Intelligence

Background:

Neonatal sepsis is a major cause of infant mortality globally.
Nonspecific symptoms and antimicrobial resistance complicate sepsis management.
Artificial intelligence (AI) offers potential solutions for sepsis risk assessment and treatment.

Purpose of the Study:

To review the application of AI in detecting and managing neonatal sepsis.
To evaluate AI methods for sepsis modeling and classification in neonates.

Main Methods:

Systematic literature review (SLR) from January 2014 to January 2024.
Searched PubMed, Scopus, Cochrane, and Web of Science for relevant English-language studies.
Focused on AI methods for neonatal sepsis detection and management.

Main Results:

AI models primarily used retrospective electronic medical record (EMR) data.
Key predictors for sepsis included low gestational age, low birth weight, elevated C-reactive protein, high white blood cell counts, tachycardia, and respiratory failure.
Machine learning models like logistic regression, random forest, KNN, SVM, and XGBoost showed effectiveness.

Conclusions:

AI shows significant promise as a clinical decision support tool for neonatal sepsis.
AI can enhance diagnostics, risk assessment, and personalized therapy selection.
AI integration can improve outcomes in managing neonatal sepsis.