Circapproved: Digital Pattern Recognition via Artificial Neural Network for the Identification of Normal Penis Parameters for Circumcision Eligibility Using Mobile App.

Journal: Journal of pediatric surgery
Published Date: May 2, 2025

Abstract

BACKGROUND: Circumcision is a prevalent surgical procedure performed for medical, cultural, and religious reasons, requiring a thorough assessment of penile anatomy to determine eligibility, especially for identifying contraindications such as congenital anomalies. This study focuses on developing an artificial intelligence (AI) based digital pattern recognition system to accurately identify normal penile parameters for circumcision eligibility using a mobile application.

Authors

  • Irfan Wahyudi
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia. Electronic address: irf.wahyudi2011@gmail.com.
  • Chandra Prasetyo Utomo
    YARSI E-Health Research Center, Faculty of Information Technology, YARSI University, Jakarta, Indonesia.
  • Samsuridjal Djauzi
    Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
  • Muhamad Fathurahman
    YARSI E-Health Research Center, Faculty of Information Technology, YARSI University, Jakarta, Indonesia.
  • Gerhard Reinaldi Situmorang
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Arry Rodjani
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Putu Angga Risky Raharja
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Kevin Yonathan
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Budi Santoso
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Dwidian Khresna
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
  • Muhammad Wildan Pratama
    Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
  • Nashuha Insani
    Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
  • Marco Raditya
    Department of Urology, Faculty of Medicine, Universitas Indonesia/ Cipto Mangunkusumo Hospital, Jakarta, Indonesia.

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