From the AI-PEDURO Repository

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

  • Arlen et al. (2016)

    Arlen et al. (2016)

    To predict breakthrough UTI, VUR + UTI. Article DOI https://doi.org/10.1016/j.jpurol.2016.03.005 Objective To predict the probability of breakthrough fUTI in children with primary VUR. AI Approach…

  • Song et al. (2024)

    Song et al. (2024)

    Wilms tumor versus non-Wilms tumor, Oncology. Article DOI https://doi.org/10.21037/tp-23-508 Objective To classify CT images for identification of Wilms and non-Wilms tumors. AI Approach SVM, RF,…

  • Sharaby et al. (2023)

    Sharaby et al. (2023)

    Wilms tumor response to chemotherapy, Oncology. Article DOI https://doi.org/10.3390/diagnostics13030486 Objective To assess the response of Wilms’ tumors to preoperative chemotherapy AI Approach Support vector machines…

  • Ma et al. (2022)

    Ma et al. (2022)

    Wilms tumor stage, Oncology. Article DOI https://doi.org/10.3389/fped.2022.873035 Objective To preoperatively predict stages (stage I and non-stage I) Wilms tumor in pediatric patients AI Approach Support…