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September 10, 2025DiagnosticsOpen Access

The Potential of Artificial Intelligence in the Diagnosis and Prognosis of Sepsis: A Narrative Review

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Artificial intelligence significantly improves sepsis diagnosis and prognosis through advanced algorithms and models.
Numerous models achieved AUC values above 0.90 in predicting sepsis, outperforming traditional scoring systems.
Literature review assessed studies from 2016 to 2024, emphasizing machine learning and deep learning approaches.
Integration involves challenges like model transparency and algorithmic bias, necessitating a multidisciplinary response.

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Narrative review analyzes artificial intelligence’s role in diagnosis and prognosis of sepsis, highlighting challenges.

Țocu et al. (2025) studied this question.

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