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

Madhu K. Natarajan (ORCID: https://orcid.org/0000-0001-6372-1348)
Kevin R. Bainey (ORCID: https://orcid.org/0000-0002-5458-4617)
Jeremy Petch (ORCID: https://orcid.org/0000-0003-1614-1046)
Omar Ibrahim (ORCID: https://orcid.org/0000-0001-7095-182X)
Shrikant I. Bangdiwala (ORCID: https://orcid.org/0000-0002-3111-0689)
Jon-David Schwalm (ORCID: https://orcid.org/0000-0003-2516-4952)
Maria P. Becerra (ORCID: https://orcid.org/0000-0002-4127-4660)
Julian Dobranowski (ORCID: https://orcid.org/0000-0002-5613-3502)
Shuang Di (ORCID: https://orcid.org/0000-0003-1707-7613)
Natalia Pinilla‐Echeverri (ORCID: https://orcid.org/0000-0001-7784-0348)
Juan Pablo Tabja Bortesi (ORCID: https://orcid.org/0009-0002-1631-5165)
Karen Mosleh
Tej Sheth (ORCID: https://orcid.org/0009-0001-4651-8310)
Katie Sonier

Institutions

University of Ottawa (CA)
University of Alberta (CA)
University of Toronto (CA)
McMaster University Medical Centre (CA)
Population Health Research Institute (CA)
Niagara Health System (CA)
Public Health Ontario (CA)
Impact (CA)
Hamilton Health Sciences (CA)
McMaster University (CA)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-04-18
DOI: https://doi.org/10.2196/71726
Citations: 3
Primary Topic: Cardiac Imaging and Diagnostics
Type: article
Field-Weighted Citation Impact: 4.08

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article

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

Madhu K. Natarajan, Kevin R. Bainey, Jeremy Petch, Omar Ibrahim et al.

Apr 18, 2025

3 citations

JMIR Research Protocols

Cardiac Imaging and Diagnostics

4.08

article

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

Madhu K. Natarajan, Kevin R. Bainey, Jeremy Petch, Omar Ibrahim, Shrikant I. Bangdiwala, Jon-David Schwalm, Maria P. Becerra, Julian Dobranowski, Shuang Di, Natalia Pinilla‐Echeverri, Juan Pablo Tabja Bortesi, Karen Mosleh, Tej Sheth, Katie Sonier

April 18, 2025article en

3 citations

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

University of Ottawa (CA), University of Alberta (CA), University of Toronto (CA), McMaster University Medical Centre (CA), Population Health Research Institute (CA), Niagara Health System (CA), Public Health Ontario (CA), Impact (CA), Hamilton Health Sciences (CA), McMaster University (CA)

Openalex Percentile: Top 7%

Cardiac Imaging and Diagnostics

4.08

DOI Open Access PDF OpenAlex

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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 — Madhu K. Natarajan, Kevin R. Bainey, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS