Use of Artificial Intelligence in Device-Associated Infections in the Intensive Care Unit
Year: 2026
Type: article
Abstract: Device-associated infections (DAIs) present a critical challenge to modern intensive care units (ICUs) worldwide. These infections – primarily ventilator-associated pneumonia (VAP), central line-associated bloodstream infection, and catheter-associated urinary tract infection – substantially elevate patient morbidity, mortality, and costs, and remain a major driver of antimicrobial resistance. This review synthesizes the latest global and regional epidemiological data, elucidates the pivotal role of biofilms, examines resistance trends, highlights prevention and surveillance strategies, and discusses the unique challenges and solutions relevant to both high-income and low- and middle-income country ICU settings. Integrating robust reference support, this article aims to enable the clinician, researcher, and hospital administrator to optimize the prevention and management of DAIs.
Authors: Saurabh Nanda, Chitra Mehta, Yatin Mehta
Institutions: Medanta The Medicity, Medanta The Medicity
Language: English
Topic: Nosocomial Infections in ICU
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7155603240