J. Kiazolu

Data heterogeneity and algorithmic bias in AI-based antimicrobial resistance prediction: a systematic review and mitigation framework

The proposed Heterogeneity Mitigation Framework offers a structured, evidence-grounded approach to these challenges; its empirical validation in diverse real-world settings is the most important next step for the field.