AI Model Predicts 28-Day Death Risk in Septic Shock From Routine Admission Blood Tests
Researchers in China built an automated machine learning tool, optimized by a fox-inspired algorithm, that estimates 28-day mortality in emergency ...
Researchers in China built an automated machine learning tool, optimized by a fox-inspired algorithm, that estimates 28-day mortality in emergency ...
A 454-patient cohort study found that Pneumocystis jirovecii pneumonia was independently associated with mortality in pulmonary cryptococcosis, whereas bacterial co-infection ...
Researchers in Wuhan combined automated whole-brain MRI segmentation with APACHE II and SOFA scores in an XGBoost machine learning model ...
A retrospective study of 22 patients with thyroid storm found that an admission Burch–Wartofsky Point Scale score of 105 or ...
A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...
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© 2025 Scienmag - Science Magazine