Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging

¹Division of Artificial Intelligence in Medicine, Departments of Medicine, Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
²Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada;
³Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel, and Ben Gurion University of the Negev, Beer Sheba, Israel;
⁴Division of Cardiology, Departments of Medicine, and Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York;
⁵Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, Oregon;
⁶Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada;
⁷Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland;
⁸Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut;
⁹Cardiovascular Imaging Technologies LLC, Kansas City, Missouri; and
¹⁰Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts