AIPEDURO

Abbas et al. (2023)

May 15, 2024

Written by:

Urethral plate characteristic, Hypospadias

Article DOI	https://doi.org/10.1016/j.jpurol.2023.03.033
Objective	To classify POST score in hypospadias repair
AI Approach	CNN
Data Source(s)	Institutional hypospadias image database (691-image dataset)
Model Input	Image of hypospadias
Model Outcome	Glans Detection, POST score
Model Metrics	Mean average precision = 99.5% Overall sensitivity = 99.1% Normalized mean error = 0.072
Model Usability	https://hypospadias-ai.netlify.app/

AI = Artificial Intelligence, CNN = Convolutional neural network, POST = Plate objective scoring tool