From the AI-PEDURO Repository

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

  • Blum et al. (2018)

    Blum et al. (2018)

    Hydronephrosis Article DOI 10.1016/j.juro.2017.09.147 Objective To predict clinically significant hydronephrosis caused by UPJ obstruction AI Approach SVM Data Source(s) Institutional series (55 children) Model Input…

  • Wang et al. (2021)

    Wang et al. (2021)

    Detrusor Overactivity, Other Article DOI https://doi.org/10.1002/nau.24578 Objective To identify detrusoroveractivity fromurodynamic studies AI Approach Manifold learning Data Source(s) Institutional series (799 urodynamic studies) Model Input…

  • Hobbs et al. (2022)

    Hobbs et al. (2022)

    Detrusor Overactivity, Other Article DOI https://doi.org/10.1016/j.urology.2021.09.027 Objective To identify detrusor overactivity from urodynamic studies in the spina bifida population AI Approach SVM, Dimensionality reduction Data…

  • Khondker et al. (2023) – AERO

    Khondker et al. (2023) – AERO

    Hydronephrosis Article DOI https://doi.org/10.1111/bju.16159 Objective To predict the risk of renal obstruction on diuretic renography using routine reported ultrasonography findings AI Approach Random Forest Model…