USE OF ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF SEPSIS
a review of the literature
DOI:
https://doi.org/10.36557/pbpc.v3i1.29Keywords:
Sepsis, Artificial intelligence, Clinical Decision Support SystemsAbstract
Introduction: Sepsis is characterized as a fatal organic dysfunction, resulting from the body's unregulated response to an infection. Its early detection contributes to advanced stages for patients. Artificial intelligence is a system that emulates human intelligence and can help manage this condition. Objective: to analyze the use of artificial intelligence in the management of sepsis. Methodology: this is a narrative review of the literature, operationalized through the Health Sciences Descriptors: “Artificial Intelligence” and “Sepsis”, connected by the Boolean operator “AND”. Results and discussion: after applying the inclusion and exclusion criteria, 12 articles were selected to compose this study. Note that sepsis management is related to the continuous analysis of patients' physiological data, such as mandatory signals, translating into algorithms that provide identify patterns and characteristics of their data, allowing early detection of sepsis even before laboratory results are available. . Furthermore, such management is related to the decline in mortality. Conclusion: this literature review elucidated that the use of artificial intelligence in the management of sepsis stands out as an innovative and effective approach.
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Copyright (c) 2024 Maria Eduarda Soares Frota, Dália Passos Sousa, Debora Cristina dos Santos Pereira, Mariana Monteiro Magalhães Cruz , Lorena Alves Silva Cruz
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