Article

Data Heterogeneity and Algorithmic Bias in AI-Based Antimicrobial Resistance Prediction: A Systematic Review and Mitigation Framework

2026-04-29

Abstract excerpt

<title>Abstract</title> <p>Background Antimicrobial resistance (AMR) represents one of the most critical global public health threats of the contemporary era, contributing to millions of deaths and substantial morbidity across all regions of the world (Murray et al., 2022). Artificial intelligence and machine learning (AI/ML) have emerged as transformative tools for improving the detection, prediction, and manag...

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Literature Corpus work: 0f17e7e3-1539-5f5f-bee7-d3ca08f574b4
DOI: 10.21203/rs.3.rs-9552638/v1

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