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

Coronary Heart Disease (81) Medical imaging (32) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) Imaging Informatics (200)

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 2024 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;75(3):558 View
  3. Sawant R, Acharya S, Kumar S, Chaudhari P. Quantitative Angiography: The Dawn of a New Era in Cardiovascular Medicine. Cureus 2024 View