Sepsis is one of the deadliest conditions in intensive care units (ICUs), triggered by the body’s out-of-control response to infection. Despite medical advancements, its in-hospital mortality rate still hovers between 20% and 50%. The challenge lies in early identification—sepsis is highly dynamic, and current scoring systems like APACHE-II and SOFA are not specifically designed to track its rapid progression. While machine learning has shown promise, most models struggle to…
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https://www.news-medical.net/news/20250324/New-AI-model-predicts-sepsis-mortality-in-the-ICU-with-high-accuracy.aspx




