Hospital-acquired infection

Generative AI Improves Healthcare-Associated Infection Surveillance, Study Finds

Researchers have found that generative artificial intelligence (AI) could improve healthcare-associated infection (HAI) surveillance programs, addressing the significant challenge of HAIs in healthcare. The study assessed the accuracy of two large language models in identifying central line-associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) in clinical scenarios, showing promising results for AI in enhancing infection surveillance programs.