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.
Source: medindia.net
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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.
Source: azorobotics.com
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.
Source: news-medical.net
Cornerstone lands Warnock aide
Lawrence Bell is leaving the Hill, where he was one of Sen. Raphael Warnock’s top aides, to join Cornerstone Government Affairs.
Source: politico.com
Ethiopian Peace Ministry hires Holland & Knight
POLITICO Get the POLITICO Influence newsletter Email Sign Up By signing up you agree to receive email newsletters or updates from POLITICO and you agree to our privacy policy and terms of service. You can unsubscribe at any time and you can contact us here. This sign-up form is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Updated Presented by the Household & Commercial Products Association With Daniel Lippman Holland & Knight’s Michael Galano and Ronald Oleynik will assist Ethiopia’s Ministry of Peace with “strategic counsel and federal government ...
Source: politico.com