Hypospadias classification, Hypospadias.
| Article DOI | https://doi.org/10.3389/fped.2024.1297642 |
| Objective | To identify hypospadias classification from genital anthropometric features |
| AI Approach | Random forrest (RF) and Support vector machines (SVM) |
| Data Source(s) | Single institutional series (259 patients, prospective testing +130 patients) |
| Model Input | Penoscrotal distance, anogenital distance, 2D:4D finger ratio |
| Model Outcome | Distal, midshaft, or proximal hypospadias |
| Model Metrics | Distal: sensitivity: 12% (RF), 0% (SVM) Midshaft: sensitivity: 57% (RF), 77% (SVM) Proximal: sensitivity: 65% (RF), 53% (SVM) |
| Model Usability | NA |
AI = Artificial intelligence
AIPEDURO 
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