Hydronephrosis severity, Hydronephrosis.
| Article DOI | https://doi.org/10.1007/978-3-030-87589-3_38 |
| Objective | To automate the assessment of obstruction severity in pediatric hydronephrosis |
| AI Approach | CNN |
| Data Source(s) | Single institutional series (49 patients) |
| Model Input | 128×128 pixel renal US images |
| Model Outcome | Obstruction severity (severe vs. non-severe) |
| Model Metrics | Accuracy: 83% |
| Model Usability | NA |
AI = Artificial intelligence, SFU = Society for Fetal Urology, CNN = Convolutional Neural Network
AIPEDURO 
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