Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review

Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review

Abstract Background: Artificial intelligence (AI) has the potential to enhance clinical decision-making, including in infectious diseases. By improving antimicrobial resistance prediction and optimizing antibiotic prescriptions, these technologies may support treatment strategies and address criti...

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Main Authors: Sulwan AlGain, Alexandre R. Marra, Takaaki Kobayashi, Pedro S. Marra, Patricia Deffune Celeghini, Mariana Kim Hsieh, Mohammed Abdu Shatari, Samiyah Althagafi, Maria Alayed, Jamila I Ranavaya, Nicole A. Boodhoo, Nicholas O. Meade, Daniel Fu, Mindy Marie Sampson, Guillermo Rodriguez-Nava, Alex N. Zimmet, David Ha, Mohammed Alsuhaibani, Boglarka S. Huddleston, Jorge L. Salinas
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Antimicrobial Stewardship & Healthcare Epidemiology
Online Access:https://www.cambridge.org/core/product/identifier/S2732494X25000476/type/journal_article
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