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<span style="mso-fareast-font-family: 'Palatino Linotype'; background: white; mso-highlight: white;">AI-Based Treatment Recommendations Enhance Speed and Accuracy in Bacteremia Management: A Comparative Study of Molecular and Phenotypic Data<span style="font-size: 13.0pt;">

2025-04-04

Abstract excerpt

<h4>Background: </h4> Bloodstream infections remain a critical global health concern due to their high morbidity and mortality, compounded by increasing antimicrobial resistance and delays in initiating targeted therapy. This study evaluates the effectiveness and timeliness of therapeutic recommendations generated by an artificial intelligence (AI)-driven clinical decision support system (CDSS), comparing outputs...

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Literature Corpus work
a4c7dc94-759f-5fe0-bdfe-4e55f2efd9d9
DOI
10.20944/preprints202504.0366.v1
Open publication

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<span style="mso-fareast-font-family: 'Palatino Linotype'; background: white; mso-highlight: white;">AI-Based Treatment Recommendations Enhance Speed and Accuracy in Bacteremia Management: A Comparative Study of Molecular and Phenotypic Data<span style="font-size: 13.0pt;">DOI 10.20944/preprints202504.0366.v1
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