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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63983, first published .
IV drip bag in a hospital room with a blurred nurse in the background

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Journals

  1. Yang Y, Yan H, Wang X, Lao J, Zhang R, Chen Z, Ma S, Li Y, Li X. Clinical risk assessment of serum creatinine abnormalities during vancomycin therapy: a retrospective study using machine learning models. International Journal of Clinical Pharmacy 2025;47(6):1830 View
  2. Vehreschild J, Spinner C, Nachtigall I. Digitalisierung und Künstliche Intelligenz in Krankenhaushygiene und Infektiologie. Krankenhaushygiene up2date 2025;20(04):365 View
  3. Vehreschild J, Spinner C, Nachtigall I. Digitalisierung und Künstliche Intelligenz in Krankenhaushygiene und Infektiologie. OP-Management up2date 2026;06(01):77 View
  4. Al Meslamani A, Jarab A, Merghani Ali Mohammed E. AI-enhanced therapeutic drug monitoring for vancomycin and β-lactam antibiotics in critical care: from population PK to bedside algorithms. Expert Review of Clinical Pharmacology 2026;19(3):239 View
  5. Petronio M, Di Matteo R, Penpa S, Roveta A, Santomauro A, Gardalini M, Farotto M, Megna I, Bolla C, Maconi A. Artificial Intelligence Application for MRSA Pneumonia: a Protocol of a Systematic Review. SN Comprehensive Clinical Medicine 2026;8(1) View
  6. Shi L, Hu N, Ling J, Yang X, Chen R. Model‐informed vancomycin precision dosing by population pharmacokinetics combined with machine learning algorithms. British Journal of Clinical Pharmacology 2026 View