AI RESEARCH
Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs
arXiv CS.LG
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ArXi:2605.22611v1 Announce Type: new Antimicrobial stewardship (AMS) is critical in pediatric intensive care units (PICUs), where diagnostic uncertainty often drives broad-spectrum antibiotic use, increasing antimicrobial resistance and potential long-term harms. Machine learning offers a promising approach for identifying patient-level opportunities for stewardship interventions from electronic health record data, yet prior work has focused largely on adult populations and static tabular representations.