Resolution in VUR, VUR + UTI.
| Article DOI | https://doi.org/10.1016/j.juro.2007.03.161 |
| Objective | To predict the chance of early VUR resolution. |
| AI Approach | Linear Support Vector Machines |
| Data Source(s) | Single institutional series (205 patients) |
| Model Input | Age, gender, presenting symptoms, reflux grade, laterality, whether reflex occurred during filling or voiding, initial bladder volume at onset, presence of complete ureteral duplication |
| Model Outcome | Spontaneous resolution at 1 and 2 years |
| Model Metrics | 1-year: AUC 0.82 2-year: AUC 0.86 |
| Model Usability | Model/Prognostic Calculator is readily available on the internet through JavaScript |
AI = Artificial intelligence, AUC = Area under the receiver operator characteristic, VUR = Vesicoureteral reflux




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