Hydronephrosis and Pyeloplasty
| Article DOI | https://doi.org/10.1007/s00345-021-03879-z |
| Objective | To predict risk of and time-to re-intervention after pyeloplasty |
| AI Approach | Logistic Lasso |
| Data Source(s) | Institutional series (543 patients) |
| Model Input | 43 clinical factors, most importantly: anteroposterior diameter on ultrasound |
| Model Outcome | Risk of re-intervention, Time to re-intervention |
| Model Metrics | AUROC = 0.86, c-index 0.78 |
| Model Usability | NA |
AIPEDURO 
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