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AI Model Uses CRRT Pressure Waveforms to Predict Daily Mortality in AKI Patients
Researchers developed a machine learning approach that predicts day-by-day mortality risk for critically ill patients with acute kidney injury receiving continuous renal replacement therapy. Unlike existing tools that rely mainly on electronic health record data, this method incorporates minute-level machine pressure waveform signals. The work suggests that treatment device data can add predictive value beyond standard clinical parameters.