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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. ....

United States , Thaiview Shutterstock , Sayon Dutta , Megan Craig , Epic Systems Corporation , Clinical Informatics Team , General Brigham Digital , Epic Risk , Epic Systems , Mass General Brigham , Study Lead Author , Emergency Medicine Physician , Massachusetts General , External Validation , Commercial Acute Kidney Injury Predictive ,

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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United States , Sayon Dutta , Epic Systems Corporation , Mass General Brigham Digital , Epic Risk , Clinical Informatics , Massachusetts General , External Validation , Commercial Acute Kidney Injury Predictive Model ,

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. ....

United States , Sayon Dutta , Epic Systems Corporation , Mass General Brigham Digital , Epic Risk , Clinical Informatics , Massachusetts General , Acute Kidney Injury , Chronic Kidney Disease , Health Care , Kidney Disease , Machine Learning ,

AI Tool Predicts Hospital Kidney Injury with Moderate Success

AI Tool Predicts Hospital Kidney Injury with Moderate Success
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United States , Sayon Dutta , Epic Systems Corporation , Mass General Brigham Digital , Epic Risk , Clinical Informatics , Massachusetts General ,