doi:10.2196/80773
Keywords
In “Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study” (J Med Internet Res 2025;27:e70943), the authors noted two errors.
The corresponding author’s name was corrected to read as “Kefei Dou.”
In addition, the grant number for the Beijing Natural Science Foundation has been corrected in the Acknowledgements section to the following: “24L60308.”
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.
This is a non–peer-reviewed article. submitted 20.07.25; accepted 22.07.25; published 30.07.25.
Copyright© Zixiang Ye, Zhangyu Lin, Enmin Xie, Chenxi Song, Rui Zhang, Hao-Yu Wang, Shanshan Shi, Lei Feng, Kefei Dou. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 30.7.2025.
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 the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
