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

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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:

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.