mlsanityData to 14 Oct 2026

Explainable AI For Early Detection Of Sepsis

arXiv 2511.06492 ↗First posted 9 Nov 2025cs.LG cs.AIcited by 1

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Abstract (arXiv)

Sepsis is a life-threatening condition that requires rapid detection and treatment to prevent progression to severe sepsis, septic shock, or multi-organ failure. Despite advances in medical technology, it remains a major challenge for clinicians. While recent machine learning models have shown promise in predicting sepsis onset, their black-box nature limits interpretability and clinical trust. In this study, we present an interpretable AI approach for sepsis analysis that integrates machine learning with clinical knowledge. Our method not only delivers accurate predictions of sepsis onset but also enables clinicians to understand, validate, and align model outputs with established medical expertise.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 14 references that are in the map. First posted on arXiv 9 Nov 2025.

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1 of 14 references.

References · 1

  1. 2019Explainable artificial intelligence model to predict acute critical illness from electronic health recordscited by 42

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