Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27795, first published .
Impact of a Machine Learning–Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices

Impact of a Machine Learning–Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices

Impact of a Machine Learning–Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices

Journals

  1. Piet E, N’Diaye Y, Marzani J, Pires L, Petitprez H, Delory T. Comments by Microbiologists for Interpreting Antimicrobial Susceptibility Testing and Improving the Appropriateness of Antibiotic Therapy in Community-Acquired Urinary Tract Infections: A Randomized Double-Blind Digital Case-Vignette Controlled Superiority Trial. Antibiotics 2023;12(8):1272 View
  2. Naik N, Talyshinskii A, Shetty D, Hameed B, Zhankina R, Somani B. Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?. Current Urology Reports 2024;25(1):37 View
  3. Gomez-Cabello C, Borna S, Pressman S, Haider S, Haider C, Forte A. Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations. European Journal of Investigation in Health, Psychology and Education 2024;14(3):685 View
  4. Giacobbe D, Marelli C, Guastavino S, Signori A, Mora S, Rosso N, Campi C, Piana M, Murgia Y, Giacomini M, Bassetti M. Artificial intelligence and prescription of antibiotic therapy: present and future. Expert Review of Anti-infective Therapy 2024;22(10):819 View
  5. Rakers M, van Buchem M, Kucenko S, de Hond A, Kant I, van Smeden M, Moons K, Leeuwenberg A, Chavannes N, Villalobos-Quesada M, van Os H. Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care. JAMA Network Open 2024;7(9):e2432990 View
  6. AlThowaimer M, Alquwayi W, Almuarik A, Alameer Alkuwaiti Y, Almehainy A, Alqahtani B, Mohammed Otaif M, Alkattan T, Alharbi M, Albather M, Awad Alanazi A, Rajeh Almohammadi A. Urinary Tract Infections (UTIs): Laboratory diagnosis - The role of artificial intelligence and smart diagnosis. International journal of health sciences 2024;8(S1):1484 View
  7. Bilal H, Khan M, Khan S, Shafiq M, Fang W, Khan R, Rahman M, Li X, Lv Q, Xu B. The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance. Computational and Structural Biotechnology Journal 2025;27:423 View
  8. Alici Ç, Tokar B. Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning. Irish Journal of Medical Science (1971 -) 2025 View
  9. Acosta-García H, Ruano-Ruiz J, Gómez-García F, Sánchez-Fidalgo S, Santos-Ramos B, Molina-López T. Computerized clinical decision support systems for prescribing in primary care: Characteristics and implementation impact. Scoping review and evidence and gap maps. Health Policy and Technology 2025;14(2):100976 View
  10. AlGain S, Marra A, Kobayashi T, Marra P, Celeghini P, Hsieh M, Shatari M, Althagafi S, Alayed M, Ranavaya J, Boodhoo N, Meade N, Fu D, Sampson M, Rodriguez-Nava G, Zimmet A, Ha D, Alsuhaibani M, Huddleston B, Salinas J. Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review. Antimicrobial Stewardship & Healthcare Epidemiology 2025;5(1) View