Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51951, first published .
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

Corrigenda and Addenda

1Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea

2College of Medicine, Seoul National University, Seoul, Republic of Korea

3Department of Radiology, Seoul National University Medical Research Center, Seoul, Republic of Korea

4AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

5Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea

6Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

7Department of Radiology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea

8Department of Radiology, Research Institute of Clinical Medicine, Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea

9Department of Radiology, Dankook University Hospital, Cheonan, Republic of Korea

10Department of Radiology, Chungbuk National University Hospital, Cheongju, Republic of Korea

11Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea

12Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Republic of Korea

13Department of Radiology, Chungnam National University Hospital, College of Medicine, Daejeon, Republic of Korea

14Department of Radiology, Daegu Fatima Hospital, Daegu, Republic of Korea

15Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

16Department of Radiology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

17Department of Radiology, Chonnam National University Hospital, Gwangju, Republic of Korea

18Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

19Department of Radiology, Seoul Medical Center, Seoul, Republic of Korea

20Department of Radiology, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, Republic of Korea

21Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

22Department of Radiology, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea

23Department of Radiology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan, Republic of Korea

*these authors contributed equally

Corresponding Author:

Kwang Nam Jin, MD

Department of Radiology

Seoul Metropolitan Government-Seoul National University Boramae Medical Center

20, Boramae-ro 5-gil, Dongjak-gu

Seoul, 07061

Republic of Korea

Phone: 82 2 870 2536

Email: wlsrhkdska@gmail.com



In “Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study” (J Med Internet Res 2023;25:e42717) the authors made one amendment. The affiliation for co-author Soo-Youn Ham was listed as:

Department of Radiology, Kangbuk Samsung Hospital, Seoul, Korea, Republic of

And will be changed to read as follows:

Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of

The correction will appear in the online version of the paper on the JMIR Publications website on August 23, 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 17.08.23; accepted 17.08.23; published 23.08.23.

Copyright

©Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.08.2023.

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.