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AI Tool Moderately Effective in Predicting Kidney Injury

The Epic AI predictive model demonstrated greater efficacy in excluding low-risk patients than in identifying those at high risk for hospital-acquired kidney injury.

ML Struggles to Predict Severe Hospital-Acquired Kidney Injury

Hospital-acquired acute kidney injury (HA-AKI) frequently occurs in hospitalized patients, posing risks of chronic kidney disease, prolonged hospitalization, escalated healthcare expenses, and elevated mortality rates.

Commercial AI tool moderately successful at predicting hospitalization-related kidney injury

Commercial AI tool moderately successful at predicting hospitalization-related kidney injury
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Evaluating a machine learning tool for predicting hospital-acquired acute kidney injury

Hospital-acquired acute kidney injury (HA-AKI) is a common complication in hospitalized patients that can lead to chronic kidney disease and is associated with longer hospital stays, higher health care costs and increased mortality.

AI Tool Predicts Hospital Kidney Injury with Moderate Success

AI Tool Predicts Hospital Kidney Injury with Moderate Success
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