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Accuracy of Artificial Intelligence-Based Models versus Traditional Scoring Systems (APACHE, SOFA, SAPS) for Predicting Mortality in ICU Patients: A Systematic Review and Meta-Analysis

2026-01-19 intensive care and critical care medicine Title + abstract only
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IntroductionReliable estimation of mortality among critically ill patients is crucial for guiding clinical decisions and optimizing ICU performance. Traditional scoring systems such as APACHE, SOFA, and SAPS are commonly applied, though their predictive capacity is constrained by their reliance on static structures and linear modeling assumptions. Artificial intelligence-based models provide flexible, data-oriented prediction strategies, yet their comparative accuracy remains unclear. This study...

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