This paper is in the following e-collection/theme issue:

Coronary Heart Disease (81) Medical imaging (28) Artificial Intelligence (1371) Decision Support for Health Professionals (1185) Imaging Informatics (193)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45299, first published .
Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

Authors of this article:

In Tae Moon1 Author Orcid Image ;   Sun-Hwa Kim2 Author Orcid Image ;   Jung Yeon Chin1 Author Orcid Image ;   Sung Hun Park1 Author Orcid Image ;   Chang-Hwan Yoon2 Author Orcid Image ;   Tae-Jin Youn2 Author Orcid Image ;   In-Ho Chae2 Author Orcid Image ;   Si-Hyuck Kang2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

In Tae Moon   1 , MD ;   Sun-Hwa Kim   2 , PhD ;   Jung Yeon Chin   1 , MD, PhD ;   Sung Hun Park   1 , MD ;   Chang-Hwan Yoon   2 , MD, PhD ;   Tae-Jin Youn   2 , MD, PhD ;   In-Ho Chae   2 , MD, PhD ;   Si-Hyuck Kang   2 , MD, PhD

1 Uijeongbu Eulji University Hospital, Uijeongbu, Republic of Korea

2 Seoul National University Bundang Hospital, Seongnam, Republic of Korea

Corresponding Author:

  • Si-Hyuck Kang, MD, PhD
  • Seoul National University Bundang Hospital
  • 82, Gumi-Ro 173 Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do
  • Seongnam, 13620
  • Republic of Korea
  • Phone: 82 31-787-7027
  • Fax: 82 31-787-4290
  • Email: eandp303@gmail.com