Researchers at the University of Liverpool have developed an artificial intelligence (AI) algorithm designed to assist doctors in selecting the most appropriate antibiotics for treating urinary tract infections (UTIs). The AI system analyzes patient data to enhance the accuracy of prescriptions, aiming to reduce unnecessary or ineffective antibiotic use.
The study focuses on UTIs, which are among the most common bacterial infections worldwide. By supporting more precise antibiotic choices, the technology seeks to address the increasing problem of antimicrobial resistance.
**Why this matters**
Antimicrobial resistance occurs when bacteria evolve to withstand antibiotic treatments, making infections harder to cure. Improving prescription accuracy can help slow this trend by ensuring antibiotics are used only when necessary and in the most effective manner. This approach has the potential to preserve the effectiveness of existing antibiotics and improve patient outcomes.
Source: NewsData