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Artificial Intelligence and Machine Learning Applications in Antimicrobial Resistance Research: A Systematic Review

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>Background Antimicrobial resistance (AMR) represents an existential global health crisis, causing over one million deaths yearly all over the world. Conventional culture-based susceptibility testing requires 48–72 hours, an interval insufficient for guiding empirical therapy in critically ill patients. Artificial intelligence (AI) and machine learning (ML) approaches have emerged as pr...

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Literature Corpus work
d6fca61d-02a9-56f1-8bed-38a8632deb67
DOI
10.21203/rs.3.rs-10478855/v1
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