Comparing Generative Artificial Intelligence vs Experts for Detection of Catheter-Associated Urinary Tract Infection.

Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Published Date: Feb 9, 2026

Abstract

A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection control expert for catheter-associated urinary tract infection (CAUTI) detection. Sensitivity was 95.2% (20/21), and specificity was 76.2% (16/21), improving to 90% with expert review of GenAI output. GenAI is a promising tool to assist in CAUTI surveillance.

Authors

  • Shatha Alshanqeeti
    Institute for Human Virology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Karen Coffey
    VA Maryland Health Care System, Baltimore, Maryland, USA.
  • Karrie Mcdermott
    VA Maryland Health Care System, Baltimore, Maryland, USA.
  • Aileen de Guzman
    VA Maryland Health Care System, Baltimore, Maryland, USA.
  • Westyn Branch-Elliman
    1Department of Medicine,Eastern Colorado Veterans Affairs (VA) Healthcare System,Denver,Colorado.
  • Katherine E Goodman
  • Anthony D Harris
    Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
  • Jonathan Baghdadi
    Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Daniel J Morgan
    Department of Population Health, University of Maryland Medical System, Baltimore.

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