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Discretionary Corrigenda (64)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89351, first published .
Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

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 ;   Putu Angga Risky Raharja1 Author Orcid Image ;   Kevin Yonathan1 Author Orcid Image ;   Budi Santoso1 Author Orcid Image ;   Dwidian Khresna1 Author Orcid Image ;   Marco Raditya1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    Corrigenda and Addenda

    1Department of Urology, Faculty of Medicine, Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, Indonesia

    2YARSI E-Health Research Center, Faculty of Information Technology, YARSI University, Jakarta, Indonesia

    3Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia

    Corresponding Author:

    Irfan Wahyudi, MD, PhD, Prof Dr

    Department of Urology

    Faculty of Medicine

    Universitas Indonesia - Cipto Mangunkusumo Hospital

    Jl. Pangeran Diponegoro No.71

    Jakarta, 10430

    Indonesia

    Phone: 62 213160493

    Email: irf.wahyudi2011@gmail.com



    In “Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility” [1], the authors noted an error in the funding information in the Acknowledgments section of the published version. The correction has been made to ensure accurate attribution of grant sources and contract numbers.

    In the originally published article, the Acknowledgments section read:

    We would like to acknowledge the support of the Badan Riset dan Inovasi Nasional for their financial support to fund this research (grant NKB-912/UN2.RST/HKP.05.00/2022). We would also like to extend our sincere appreciation to the entire medical team for their vital contributions in executing this protocol and gathering the research data. Huge appreciation is also given to the staff members of the E-Health Research Center for their help in providing support throughout the AI development process.

    The corrected Acknowledgments section now reads:

    This study was funded by the RIIM LPDP Grant Program and Badan Riset dan Inovasi Nasional (BRIN; grants 97/IV/KS/11/2022 and 530./PKS/WRIII-DISTP/UI/2022), awarded through Universitas Indonesia. We would also like to extend our sincere appreciation to the entire medical team for their vital contributions in executing this protocol and gathering the research data. Huge appreciation is also given to the staff members of the YARSI E-Health Research Center for their help in providing support throughout the AI development process.

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Wahyudi I, Utomo CP, Djauzi S, Fathurahman M, Situmorang GR, Rodjani A, et al. Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility. JMIR Res Protoc. Sep 10, 2025;14:e65811. [FREE Full text] [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 11.Dec.2025; accepted 12.Dec.2025; published 02.Mar.2026.

    Copyright

    ©Irfan Wahyudi, Chandra Prasetyo Utomo, Samsuridjal Djauzi, Muhamad Fathurahman, Gerhard Reinaldi Situmorang, Arry Rodjani, Putu Angga Risky Raharja, Kevin Yonathan, Budi Santoso, Dwidian Khresna, Marco Raditya. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 02.Mar.2026.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.