Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry

Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes

(2018) Matthew M. Kalscheur et al.   Circulation-Arrhythmia and Electrophysiology

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

(2018) Adriaan Coenen et al.   Circulation-Cardiovascular Imaging

OUP accepted manuscript

(2018)   EUROPEAN HEART JOURNAL

A Comparison of the Updated Diamond-Forrester, CAD Consortium, and CONFIRM History-Based Risk Scores for Predicting Obstructive Coronary Artery Disease in Patients With Stable Chest Pain

(2018) Lohendran Baskaran et al.   JACC-Cardiovascular Imaging

Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging

(2018) Felix G. Meinel et al.   Scientific Reports

Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry

(2018) Alexander R. van Rosendael et al.   Journal of Cardiovascular Computed Tomography

Validation and comparison of four models to calculate pretest probability of obstructive coronary artery disease in a Chinese population: A coronary computed tomographic angiography study

(2017) Jia Zhou et al.   Journal of Cardiovascular Computed Tomography

2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology

(2017) Harvey S. Hecht et al.   Journal of Cardiovascular Computed Tomography

European Society of Cardiology–Recommended Coronary Artery Disease Consortium Pretest Probability Scores More Accurately Predict Obstructive Coronary Disease and Cardiovascular Events Than the Diamond and Forrester ScoreClinical Perspective

(2016) Marcio Sommer Bittencourt et al.   CIRCULATION

Analysis of Machine Learning Techniques for Heart Failure Readmissions

(2016) Bobak J. Mortazavi et al.  

Diamond–Forrester and Morise risk models perform poorly in predicting obstructive coronary disease in Middle Eastern Cohort

(2016) Hussain A. Isma'eel et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Analysis of Machine Learning Techniques for Heart Failure Readmissions

(2016) Bobak J. Mortazavi et al.   Circulation-Cardiovascular Quality and Outcomes

SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee

(2016) Suhny Abbara et al.   Journal of Cardiovascular Computed Tomography

CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial

(2015)   LANCET

Outcomes of Anatomical versus Functional Testing for Coronary Artery Disease

(2015) Pamela S. Douglas et al.   NEW ENGLAND JOURNAL OF MEDICINE

hs-Troponin I Followed by CT Angiography Improves Acute Coronary Syndrome Risk Stratification Accuracy and Work-Up in Acute Chest Pain Patients

(2015) Maros Ferencik et al.   JACC-Cardiovascular Imaging

Incremental predictive value for obstructive coronary artery disease by combination of Duke Clinical Score and Agatston score

(2015) Kazuhisa Takamura et al.   European Heart Journal-Cardiovascular Imaging

2014 SCCT guidelines for the interpretation and reporting of coronary CT angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee

(2015) Fu-Zong Wu et al.   Journal of Cardiovascular Computed Tomography

Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice

(2014) Manesh R. Patel et al.   AMERICAN HEART JOURNAL

Incremental prognostic utility of coronary CT angiography for asymptomatic patients based upon extent and severity of coronary artery calcium: results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFIRM) Study

(2014) Iksung Cho et al.   EUROPEAN HEART JOURNAL

2013 ESC guidelines on the management of stable coronary artery disease

(2013)   EUROPEAN HEART JOURNAL

Impact of a Continuous Quality Improvement Initiative on Appropriate Use of Coronary Computed Tomography Angiography

(2012) Kavitha M. Chinnaiyan et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease

(2012) Stephan D. Fihn et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts

(2012) T. S. S. Genders et al.   BMJ-British Medical 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

Mortality Risk in Symptomatic Patients With Nonobstructive Coronary Artery Disease

(2011) Fay Y. Lin et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Rationale and design of the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) Registry

(2011) James K. Min et al.   Journal of Cardiovascular Computed Tomography

Low Diagnostic Yield of Elective Coronary Angiography

(2010) Manesh R. Patel et al.   NEW ENGLAND JOURNAL OF MEDICINE

Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals Without Known Coronary Artery Disease

(2008) Matthew J. Budoff et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Diagnostic Performance of Coronary Angiography by 64-Row CT

(2008) Julie M. Miller et al.   NEW ENGLAND JOURNAL OF MEDICINE