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

Jeremy Petch   ^{1, 2, 3, 4} , PhD ;   Juan Pablo Tabja Bortesi   ^{3, 5} , HBsc ;   Tej Sheth   ^{1, 2} , MD ;   Madhu Natarajan   ^{1, 2} , MSc, MD ;   Natalia Pinilla-Echeverri   ^{1, 2} , MD, PhD ;   Shuang Di   ^{3, 6} , MEd, MSc ;   Shrikant I Bangdiwala   ^{1, 7} , PhD ;   Karen Mosleh   ⁸ , MSc ;   Omar Ibrahim   ^{1, 2} , MD ;   Kevin R Bainey   ⁹ , MSc, MD ;   Julian Dobranowski   ^{10, 11, 12} , MD ;   Maria P Becerra   ³ , HBsc ;   Katie Sonier   ³ , MSc ;   Jon-David Schwalm   ^{1, 2, 8} , MSc, MD

¹ Population Health Research Institute, Hamilton, ON, Canada

² Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada

³ Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada

⁴ Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

⁵ School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada

⁶ Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

⁷ Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada

⁸ Centre for Evidence-Based Implementation, Hamilton Health Sciences, Hamilton, ON, Canada

⁹ Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, AB, Canada

¹⁰ Department of Medical Imaging, McMaster University, Hamilton, ON, Canada

¹¹ Centre for Integrated and Advanced Medical Imaging, McMaster University, Hamilton, ON, Canada

¹² Niagara Health System, Saint Catharines, ON, Canada