Intersections between artificial intelligence (AI) and sepsis: an integrative review

• DOI: https://doi.org/10.22533/at.ed.515732605028

• Palavras-chave: Sepsis; Machine Learning; Algorithms

• Keywords: Sepsis; Machine Learning; Algorithms

• Abstract:

  Objectives: To conduct an integrative review of the literature to investigate the impact of artificial intelligence (AI) on the clinical management of sepsis. Methods: Databases such as PubMed/MEDLINE and LILACS were used, and the search for articles was guided by the question: what is the contribution of AI to the detection and/or treatment of sepsis? Results: Of the 11 articles selected, the fundamental role of machine learning in the development of predictive models for the identification of early signs of sepsis stood out, resulting in improvements in interventions and prognoses. In addition, AI was applied in patient monitoring systems, such as Robô Laura™, optimizing clinical processes. Conclusions: AI plays a significant role in advancing the clinical management of sepsis, offering innovative perspectives for diagnosis, treatment, and prognosis.