The newly validated Goliat score allows emergency clinicians to accurately predict 48-hour complications in patients with non-severe traumatic brain injury using clinical indicators and S100B protein levels.
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An advanced automated machine learning model improves the accuracy of cardiac event predictions by utilizing non-linear data from positron emission tomography scans and clinical patient records.