Machine Learning Algorithms for Predicting Urinary Tract Infections: Integration of Demographic Data and Dipstick Reflectance Results
Clin Chem. 2025 Aug 26:hvaf088. doi: 10.1093/clinchem/hvaf088. Online ahead of print. ABSTRACT BACKGROUND: Urinary tract infections (UTIs) are among the most common infections encountered in healthcare settings. Current diagnostic practices often require 24-48 h due to the time needed for culture results. Given that 70%-80% of cultures return negative, there is significant interest in rapidly … Read more