The Impact Of Artificial Intelligence On Nosocomial Infection Control: A Comprehensive Review
Year: 2024
Type: article
Abstract: Artificial intelligence (AI) has become a game-changer in healthcare, showing great promise in improving the control of hospital-acquired infections. This review delves into how AI is being used to enhance infection control in healthcare environments. It looks at the latest research on AI-based prediction models, real-time monitoring systems, and decision support tools that help prevent and manage healthcare-associated infections (HAIs). By utilizing machine learning and data analytics, AI has proven effective in forecasting outbreaks, refining antibiotic use, and enhancing the accuracy of infection surveillance. This review aims to give healthcare professionals and researchers a thorough understanding of the advantages, challenges, and future possibilities of using AI in infection control.
Author: Ganesh Anil Vitukade1*, Ashwini A. Bhosale2, Monika N. Pawar1, Nishigandha S. Chopde1
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6930642613
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