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

BACKGROUND: Hypospadias 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 artificial intelligence a...

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Detalles Bibliográficos
Autores principales: Wahyudi, Irfan, Utomo, Chandra Prasetyo, Djauzi, Samsuridjal, Fathurahman, Muhamad, Situmorang, Gerhard Reinaldi, Rodjani, Arry, Yonathan, Kevin, Santoso, Budi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736751/
https://www.ncbi.nlm.nih.gov/pubmed/36427238
http://dx.doi.org/10.2196/42853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736751/
https://www.ncbi.nlm.nih.gov/pubmed/36427238
http://dx.doi.org/10.2196/42853

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