Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App

Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App

BackgroundHypospadias remains the most prevalent congenital abnormality in boys worldwide. However, the limited infrastructure and number of pediatric urologists capable of diagnosing and managing the condition hinder the management of hypospadias in Indonesia. The use of art...

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Bibliographic Details
Main Authors: Irfan Wahyudi, Chandra Prasetyo Utomo, Samsuridjal Djauzi, Muhamad Fathurahman, Gerhard Reinaldi Situmorang, Arry Rodjani, Kevin Yonathan, Budi Santoso
Format: Article
Language:English
Published: JMIR Publications 2022-11-01
Series:JMIR Research Protocols
Online Access:https://www.researchprotocols.org/2022/11/e42853

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https://www.researchprotocols.org/2022/11/e42853

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