Revolutionizing the fight against antimicrobial resistance with artificial intelligence

Ikhwan Yuda Kusuma

doi:10.51511/pr.53

Ikhwan Yuda Kusuma Department of Pharmacy, Faculty of Health, Universitas Harapan Bangsa Purwokerto, Banyumas Regency, Central Java 53182, Indonesia https://orcid.org/0000-0003-1248-042X

Keywords: antimicrobial resistance, artificial intelligence, rapid diagnosis, predicting resistance patterns, new treatment identification

Abstract

Antimicrobial resistance (AMR) is a major public health threat, responsible for millions of deaths annually. Current efforts to combat AMR include antibiotic stewardship programs, infection prevention and control measures, and the development of new antimicrobial agents. However, traditional laboratory techniques used to identify antibiotic-resistant genes are inadequate. Artificial intelligence (AI) has emerged as a promising tool to combat AMR, potentially facilitating rapid diagnosis, predicting antibiotic resistance patterns, and identifying new treatments. AI can analyze large amounts of data from various sources and identify patterns and correlations that humans may miss. However, there are potential challenges and risks associated with implementing AI in the fight against AMR, including ethical concerns and data quality issues.

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