From the AI-PEDURO Repository

Stay up to date with the latest ML models deployed in pediatric urology.

  • Alqaraleh et al. (2025)

    Alqaraleh et al. (2025)

    VUR grade prediction Article DOI https://doi.org/10.56294/dm2025460 Objective To determine VUR grade using images from VCUGs AI Approach Random forrest Data Source(s) Online image scraping (113…

  • Weaver et al. (2025)

    Weaver et al. (2025)

    Hydronephrosis from VUDS in spina bifida Article DOI https://dx.doi.org/10.1097/JU.0000000000004547 Objective To predict incident hydronephrosis in patients with spina bifida using videourodynamics data AI Approach Random…

  • Wang et al. (2025)

    Wang et al. (2025)

    Infections after pyeloplasty Article DOI https://dx.doi.org/10.1038/s41598-024-82282-1 Objective To enhance predictive accuracy for urinary tract infections post-pediatric pyeloplasty AI Approach Logistic Regression, SVM, Random Forest, XGBoost,…

  • Suh (2025)

    Suh (2025)

    Graft failure in kidney transplants Article DOI https://doi.org/10.1111/petr.70043 Objective To identify risk factors for chronic rejection-caused graft failure 15 years post-transplant AI Approach Logistic regression,…