Machine learning in the integration of simple variables for identifying patients with myocardial ischemia

Cardiac imaging: working towards fully-automated machine analysis & interpretation

(2017) Piotr J Slomka et al.   Expert Review of Medical Devices

Quantitative myocardial perfusion evaluation with positron emission tomography and the risk of cardiovascular events in patients with coronary artery disease: a systematic review of prognostic studies

(2017) Luis Eduardo Juárez-Orozco et al.   European Heart Journal-Cardiovascular Imaging

Comparison of Coronary CT Angiography, SPECT, PET, and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve

(2017) Ibrahim Danad et al.   JAMA Cardiology

Type 2 diabetes mellitus correlates with systolic function during myocardial stress perfusion scanning with Nitrogen-13 ammonia PET

(2016) Luis Eduardo Juárez-Orozco et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

Relationship Between Quantitative Adverse Plaque Features From Coronary Computed Tomography Angiography and Downstream Impaired Myocardial Flow Reserve by13N-Ammonia Positron Emission TomographyCLINICAL PERSPECTIVE

(2015) Damini Dey et al.   Circulation-Cardiovascular Imaging

Measuring myocardial perfusion: the role of PET, MRI and CT

(2015) A.A. Qayyum et al.   CLINICAL RADIOLOGY

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population

(2014) Reza Arsanjani et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population

(2013) Reza Arsanjani et al.   JOURNAL OF NUCLEAR CARDIOLOGY

European Guidelines on cardiovascular disease prevention in clinical practice (version 2012): The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts) * Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR)

(2012) et al.   EUROPEAN HEART JOURNAL

A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension

(2011) T. S. S. Genders et al.   EUROPEAN HEART JOURNAL

Impaired Myocardial Flow Reserve on Rubidium-82 Positron Emission Tomography Imaging Predicts Adverse Outcomes in Patients Assessed for Myocardial Ischemia

(2011) Maria C. Ziadi et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Machine Learning in Medicine: A Primer for Physicians

(2010) Akbar K Waljee et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

The Metabolic Syndrome and Cardiovascular Risk

(2010) Salvatore Mottillo et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Learning long-range vision for autonomous off-road driving

(2009) Raia Hadsell et al.   Journal of Field Robotics

Long-Term Prognostic Value of 13N-Ammonia Myocardial Perfusion Positron Emission Tomography

(2009) Bernhard A. Herzog et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY