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

RCTs - Protocols/Proposals (eHealth) (707) Artificial Intelligence (2341) Coronary Heart Disease (114) Decision Support for Health Professionals (1635) mHealth in a Clinical Setting (772) Clinical Information and Decision Making (2067) Computer-Aided Diagnosis (278) Cardiac Risk and Cardiac Risk Calculators (118) Machine Learning (2225)

Published on in Vol 14 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71726, first published .
Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Authors of this article:

Jeremy Petch1, 2, 3, 4 Author Orcid Image ;   Juan Pablo Tabja Bortesi3, 5 Author Orcid Image ;   Tej Sheth1, 2 Author Orcid Image ;   Madhu Natarajan1, 2 Author Orcid Image ;   Natalia Pinilla-Echeverri1, 2 Author Orcid Image ;   Shuang Di3, 6 Author Orcid Image ;   Shrikant I Bangdiwala1, 7 Author Orcid Image ;   Karen Mosleh8 Author Orcid Image ;   Omar Ibrahim1, 2 Author Orcid Image ;   Kevin R Bainey9 Author Orcid Image ;   Julian Dobranowski10, 11, 12 Author Orcid Image ;   Maria P Becerra3 Author Orcid Image ;   Katie Sonier3 Author Orcid Image ;   Jon-David Schwalm1, 2, 8 Author Orcid Image
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  1. Kagiyama N, Tokodi M, Hathaway Q, Arnaout R, Davies R, Dey D, Duchateau N, Fraser A, Goto S, Jamthikar A, Lam C, Oikonomou E, Ouyang D, Pandey A, Poterucha T, Raisi-Estabragh Z, Strom J, Zhang Q, Yanamala N, Sengupta P. PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation. JACC: Cardiovascular Imaging 2026;19(2):225 View
  2. Soczyńska J, Butyńska K, Dudek M, Gawełczyk W, Woźniak S, Gajewski P. DynamX Bioadaptor as an Emerging and Promising Innovation in Interventional Cardiology. Life 2025;15(10):1549 View
  3. Petch J, Di S, Watson T, Becerra M, Rosella L, Natarajan M, Sheth T, Schwalm J. An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease. European Heart Journal - Digital Health 2026;7(3) View