Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa

Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa

ABSTRACT The challenge of antimicrobial resistance (AMR) represents one of the most pressing global health crises, particularly, in resource‐constrained settings like Africa. In this paper, we explore artificial intelligence (AI) and machine learning (ML) potential in transforming the potential for...

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Bibliographic Details
Main Authors: Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Applied AI Letters
Subjects:
antimicrobial resistance
artificial intelligence
machine learning
Online Access:https://doi.org/10.1002/ail2.123
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https://doi.org/10.1002/ail2.123

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