From the AI-PEDURO Repository

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

  • Abudurexiti et al. (2025)

    Abudurexiti et al. (2025)

    SIRS after PCNL Article DOI https://doi.org/10.2147/JIR.S518631 Objective To predict systemic inflammatory response syndrome (SIRS) in pediatric patients undergoing percutaneous nephrolithotripsy AI Approach Random forest, XGBoost,…

  • Richter et al. (2024)

    Richter et al. (2024)

    Postnatal outcomes from prenatal ultrasound in LUTO Article DOI https://doi.org/10.1002/uog.29129 Objective To predict postnatal outcome in fetuses with lower urinary tract obstruction (LUTO) using prenatal…

  • Erdman et al. (2024)

    Erdman et al. (2024)

    Need for surgery in UPJO Article DOI https://doi.org/10.1038/s41598-024-72271-9 Objective To predict obstructive hydronephrosis requiring surgery from renal US in children with prenatal hydronephrosis AI Approach…

  • Shirazi et al. (2024)

    Shirazi et al. (2024)

    Residual valve after ablation in PUV Article DOI https://doi.org/10.4081/aiua.2024.12530 Objective To estimate the residual valve rate after endoscopic valve ablation AI Approach ANN Data Source(s)…