ResProt JMIR Res Protoc JMIR Research Protocols 1929-0748 JMIR Publications Toronto, Canada v15i1e89351 41771058 10.2196/89351 Corrigenda and Addenda Corrigenda and Addenda Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility Wahyudi Irfan MD, PhD, Prof Dr 1
Department of Urology Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital Jl. Pangeran Diponegoro No.71 Jakarta, 10430 Indonesia 62 213160493 irf.wahyudi2011@gmail.com
https://orcid.org/0000-0003-0657-5190 Utomo Chandra Prasetyo BSc, MS 2 https://orcid.org/0000-0001-5123-311X Djauzi Samsuridjal MD, PhD, Prof Dr 3 https://orcid.org/0000-0002-1419-8383 Fathurahman Muhamad BSc, MSc 2 https://orcid.org/0000-0003-0494-102X Situmorang Gerhard Reinaldi MD, PhD 1 https://orcid.org/0000-0002-3614-6779 Rodjani Arry MD 1 https://orcid.org/0000-0002-5118-2444 Raharja Putu Angga Risky MD 1 https://orcid.org/0000-0003-4951-2827 Yonathan Kevin MD 1 https://orcid.org/0000-0002-3089-0652 Santoso Budi MD 1 https://orcid.org/0000-0001-6645-445X Khresna Dwidian MD 1 https://orcid.org/0009-0005-1554-2587 Raditya Marco MD 1 https://orcid.org/0009-0002-2458-4795 Department of Urology Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital Jakarta Indonesia YARSI E-Health Research Center Faculty of Information Technology YARSI University Jakarta Indonesia Department of Internal Medicine Faculty of Medicine Universitas Indonesia Jakarta Indonesia Corresponding Author: Irfan Wahyudi irf.wahyudi2011@gmail.com 2026 2 3 2026 15 e89351 11 12 2025 12 12 2025 ©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), 02.03.2026. 2026

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 https://www.researchprotocols.org/2025/1/e65811

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.

Wahyudi Irfan Utomo Chandra Prasetyo Djauzi Samsuridjal Fathurahman Muhamad Situmorang Gerhard Reinaldi Rodjani Arry Raharja Putu Angga Risky Yonathan Kevin Santoso Budi Khresna Dwidian Raditya Marco Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility JMIR Res Protoc 2025 09 10 14 e65811 10.2196/65811 40929720 v14i1e65811 PMC12461175