This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (105) Imaging Informatics (193) mHealth for Data Collection and Research (955) Machine Learning (1465) Artificial Intelligence (1371)

Published on in Vol 11, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42853, first published .
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

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

Authors of this article:

Irfan Wahyudi1 Author Orcid Image ;   Chandra Prasetyo Utomo2 Author Orcid Image ;   Samsuridjal Djauzi3 Author Orcid Image ;   Muhamad Fathurahman2 Author Orcid Image ;   Gerhard Reinaldi Situmorang1 Author Orcid Image ;   Arry Rodjani1 Author Orcid Image ;   Kevin Yonathan1 Author Orcid Image ;   Budi Santoso1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Zhou Q, Zhao T, Feng K, Gong R, Wang Y, Yang H. Artificial intelligence in acupuncture: A bibliometric study. Mathematical Biosciences and Engineering 2023;20(6):11367 View
  2. Chowdhury A, Salam A, Naznine M, Abdalla D, Erdman L, Chowdhury M, Abbas T. Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances. Diagnostics 2024;14(18):2059 View