AI Models Predict When Sepsis Liver Injury Patients Will Die
Interpretable machine learning models predict 7-, 14-, and 28-day mortality in sepsis-associated liver injury, outperforming modified SOFA and MELD-Na in ...
Interpretable machine learning models predict 7-, 14-, and 28-day mortality in sepsis-associated liver injury, outperforming modified SOFA and MELD-Na in ...
A new systematic review finds that liver injury during pediatric sepsis is associated with nearly fourfold higher odds of death, ...
A new commentary in Intensive Care Medicine argues that routine liver tests, particularly the De Ritis ratio, can identify sepsis ...
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© 2025 Scienmag - Science Magazine