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Studies on OneChoice and Arkstone machine learning
Peer-reviewed articles, book chapters and validation studies. Each opens as a PDF.
- AI Clinical Decision Support for Antibiotic Therapy: A Systematic ReviewPDF
- OneChoice vs ID Specialists for Empirical UTI TherapyPDF
- Guiding Antibiotic Therapy with Machine LearningPDF
- OneChoice Molecular vs Culture publicationPDF
- AI applied to ASPPDF
- Validation Study of Arkstone Machine LearningPDF
- Arkstones Clinical Decision Descriptive and Comparative AnalysisPDF
Publications, abstracts and manuscripts
Studies from our clinical research program, with where each stands.
Comparison of OneChoice plus® Recommendations with Infectious Disease Specialist Recommendations for the Treatment of Bacteremia and Urinary Tract Infections in Hospitalized Patients at Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru (October to December 2025).
Study protocol.
Accuracy of Therapeutic Recommendations from a Clinical Decision Support System: OneChoice® Reports Based on Phenotypic Results Compared with Infectious Disease Physicians and Other Specialists in the Treatment of Urinary Tract Infections in Lima, Peru.
Accepted and presented at the Pan-American Congress of Infectious Diseases 2025.
Clinical Utility of FilmArray BCID and Resistance Gene Detection in Bacteremia: A Five-Year Retrospective Analysis from Lima, Peru.
Abstract accepted at ASM Microbe 2026.
Antimicrobial Stewardship in the Era of AI: A Head-to-Head Comparison of the Arkstone Human-in-the-Loop Machine Learning Algorithm and Large Language Models in Real-World Infectious Disease Cases.
Manuscript in preparation.
Clinical Utility and Cost-Effectiveness of Molecular Diagnostic-Guided Antimicrobial Therapy in Sepsis: A Retrospective Cohort Study.
Abstract accepted at ASM Microbe 2026 as "Effect of rapid molecular microbiology on clinical and economic outcomes in sepsis and bacteremia in resource-limited settings."
Comparison of OneChoice® AI-Based Clinical Decision Support Recommendations with Infectious Disease Specialists and Non-Specialists for Bacteremia Treatment in Lima, Peru.
Published in PLOS ONE (2026). doi:10.1371/journal.pone.0331266
From Molecular Diagnostics to Artificial Intelligence: Impact of an Integrated Bloodstream Infection Program on Diagnostic Concordance and Time to Therapy.
A prospective study in Lima, Peru comparing OneChoice® recommendations built on molecular results with recommendations built on combined molecular and phenotypic results. Abstract accepted at ASM Microbe 2026.
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