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

Coronary Heart Disease (72) Medical imaging (20) Artificial Intelligence (1194) Decision Support for Health Professionals (1136) Imaging Informatics (187)

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

Journals

  1. Nafee T, Shah A, Forsberg M, Zheng J, Ou J. State-of-art review: intravascular imaging in percutaneous coronary interventions. Cardiology Plus 2023;8(4):227 View
  2. Warren B, Bilbily A, Gichoya J, Conway A, Li B, Fawzy A, Barragán C, Jaberi A, Mafeld S. An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge. Canadian Association of Radiologists Journal 2024 View
  3. Sawant R, Acharya S, Kumar S, Chaudhari P. Quantitative Angiography: The Dawn of a New Era in Cardiovascular Medicine. Cureus 2024 View