From the AI-PEDURO Repository

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

  • Smail et al. (2020)

    Smail et al. (2020)

    Hydronephrosis Article DOI  10.3389/fped.2020.00001 Objective To predict SFU grade of hydronephrosis AI Approach CNN; Layer-wise propagation to visualize output. Data Source(s) Institutional series (2420 sagittal…

  • Lorenzo et al. (2017)

    Lorenzo et al. (2017)

    Hydronephrosis Article DOI https://doi.org/10.1016/j.urology.2018.05.041 Objective To predict obstructive hydronephrosis requiring surgery in children with prenatal hydronephrosis AI Approach Boosted decision tree, neural network Data Source(s)…

  • Erdman et al. (2020)

    Erdman et al. (2020)

    Hydronephrosis Article DOI https://doi.org/10.1007/978-3-030-59716-0_47 Objective To predict obstructive hydronephrosis requiring surgery from renal ultrasounds in childrenwith prenatal hydronephrosis AI Approach CNN Data Source(s) Institutional series…

  • Cerrolaza et al. (2016)

    Cerrolaza et al. (2016)

    Hydronephrosis Article DOI 10.1016/j.juro.2015.10.173 Objective To define sonographic markers for hydronephrotic kidneys that predict need for diuretic nuclear renography AI Approach SVM Data Source(s) Institutional…