Artificial intelligence in hospital infection prevention: an integrative review.

Journal: Frontiers in public health
PMID: 40241963

Abstract

BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities.

Authors

  • Rabie Adel El Arab
    Almoosa College of Health Sciences, Al Mubarraz, Saudi Arabia.
  • Zainab Almoosa
    Department of Infectious Disease, Almoosa Specialist Hospital, Al Mubarraz, Saudi Arabia.
  • May Alkhunaizi
    Almoosa College of Health Sciences, Al Mubarraz, Saudi Arabia.
  • Fuad H Abuadas
    Department of Community Health Nursing, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Joel Somerville
    Inverness College, University of the Highlands and Island, Inverness, United Kingdom.

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