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AI-Based Treatment Recommendations Enhance Speed and Accuracy in Bacteremia Management: A Comparative Study of Molecular and Phenotypic Data

27 May 2025

Abstract excerpt

BACKGROUND: Bloodstream infections continue to pose a serious global health threat due to their high morbidity and mortality, further worsened by rising antimicrobial resistance and delays in starting targeted therapy. This study assesses the accuracy and timeliness of therapeutic recommendations produced by an artificial intelligence (AI)-driven and machine-learning (ML) clinical decision support system (CDSS),...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40566518
DOI: 10.3390/life15060864

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