ArticleAntibiotics (Basel, Switzerland)2023
Artificial Intelligence Can Guide Antibiotic Choice in Recurrent UTIs and Become an Important Aid to Improve Antimicrobial Stewardship.
Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Artificial intelligence for infection surveillance, risk stratification, and antimicrobial decision support in acute-care hospitals: a scoping review.Frontiers in artificial intelligence · 2026Pooled it
- Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Pooled it
- Evolution of technology and disparities in antimicrobial stewardship: a narrative review.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Review
- Diagnostic tests for urinary tract infections and antimicrobial resistance-a reality check between diagnostic innovation and implementation: a critical narrative review.Frontiers in cellular and infection microbiology · 2026Review
- Determining accuracy of diagnosis and management of common presenting semen analyses using artificial intelligence programs.Translational andrology and urology · 2025Article
- The impact of artificial intelligence on the prescribing, selection, resistance, and stewardship of antimicrobials: a scoping review.BMC infectious diseases · 2025Article
- Use of Artificial Intelligence Methods for Improved Diagnosis of Urinary Tract Infections and Urinary Stone Disease.Journal of clinical medicine · 2025Review
- Machine learning to predict urine culture antibiotic sensitivities in the emergency department.Heliyon · 2025Article
- A Precision Medicine Model for Targeted Antibiotic Therapy in Urinary Tract Infections: A Valuable Tool to Reduce Hospitalization Stay and the Time to Switch to Oral Treatment.Antibiotics (Basel, Switzerland) · 2025Article
- Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?Current urology reports · 2024Review
Corrections and comments
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Authors and funding
14 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA correct approach to recurrent urinary tract infections (rUTIs) is an important pillar of antimicrobial stewardship. We aim to define an Artificial Neural Network (ANN) for predicting the clinical efficacy of the empiric antimicrobial treatment in women with rUTIs.
methodsWe extracted clinical and microbiological data from 1043 women. We trained an ANN on 725 patients and validated it on 318.
resultsThe ANN showed a sensitivity of 87.8% and specificity of 97.3% in predicting the clinical efficacy of empirical therapy. The previous use of fluoroquinolones (HR = 4.23;
conclusionsANNs seem to be an interesting tool to guide the antimicrobial choice in the management of rUTIs at the point of care.
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Registered trials
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