Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49146, first published .
Correction: Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

Correction: Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

Correction: Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

Corrigenda and Addenda

1Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2Faculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, United Kingdom

3Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

4Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

5Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science & Technology of China, Sichuan, China

6Affiliated Cancer Hospital, The 3rd Affiliated Teaching Hospital of Xinjiang Medical University, Xinjiang, China

7Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Henan, China

8Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

*these authors contributed equally

Corresponding Author:

Yu Jiang, PhD

Department of Epidemiology and Biostatistics

School of Population Medicine and Public Health

Chinese Academy of Medical Sciences and Peking Union Medical College

No 9 Dongdan Santiao

Dongcheng

Beijing, 100730

China

Phone: 86 10 8778 8489

Email: jiangyu@pumc.edu.cn



In “Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis” (J Med Internet Res 2023;25:e43832), the authors noted one error.

In the originally published article, the highest academic degrees for thirteen of the authors were erroneously displayed in the authorship list as follows:

Peng Xue, PhD; Mingyu Si, PhD; Dongxu Qin, MD; Bingrui Wei, MD; Zichen Ye, MD; Mingyang Chen, PhD; Sumeng Wang, PhD; Cheng Song, PhD; Bo Zhang, MD; Ming Ding, MD; Wenling Zhang, MD; Anying Bai, PhD; Huijiao Yan, PhD.

These have been corrected to:

Peng Xue, MPH; Mingyu Si, MPH; Dongxu Qin, BM; Bingrui Wei, BS; Zichen Ye, BM; Mingyang Chen, BM; Sumeng Wang, BM; Cheng Song, MPhil; Bo Zhang, BM; Ming Ding, BM; Wenling Zhang, BM; Anying Bai, BM; Huijiao Yan, MPH.

The correction will appear in the online version of the paper on the JMIR Publications website on June 2, 2023, 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 26.05.23; accepted 26.05.23; published 02.06.23.

Copyright

©Peng Xue, Mingyu Si, Dongxu Qin, Bingrui Wei, Samuel Seery, Zichen Ye, Mingyang Chen, Sumeng Wang, Cheng Song, Bo Zhang, Ming Ding, Wenling Zhang, Anying Bai, Huijiao Yan, Le Dang, Yuqian Zhao, Remila Rezhake, Shaokai Zhang, Youlin Qiao, Yimin Qu, Yu Jiang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 02.06.2023.

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, 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.