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Faculty Members have conducted research related to the Comparison of Conventional Scoring Systems to Machine Learning Models for the Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Coronary Computed Tomography Angiography

Pooria Ahmadi

Assistant Professor of Cardiology

Department Cardiology

School of Medicine

Shariati Hospital

Tehran University of Medical Sciences

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1. Association of Cardiovascular Risk Factors With Major and Minor Electrocardiographic Abnormalities: A Report From the Cross-Sectional Phase of Tehran Cohort Study, Health Science Reports (2025)

2. Fatal Case of Streptococcal Prosthetic Valve Endocarditis Caused by Streptococcus Mitis in Patient With Tetralogy Fallot Disorder: A Case Report, Journal of Cardiothoracic Surgery (2025)

3. Platelet Volume Parameters As Predictors of Valvular Thrombosis Risk in Patients With Aortic and Mitral Valve Replacement, Clinical and Applied Thrombosis/Hemostasis (2025)

4. Age and Gender Differences of Basic Electrocardiographic Values and Abnormalities in the General Adult Population; Tehran Cohort Study, BMC Cardiovascular Disorders (2023)

5. Association Between Nontraditional Risk Factors and Calculated 10-Year Risk of Atherosclerotic Cardiovascular Disease in a Large General Population: Based on the Pars Cohort Study, Journal of Tehran University Heart Center (2023)

6. Comparison of Conventional Scoring Systems to Machine Learning Models for the Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Coronary Computed Tomography Angiography, Frontiers in Cardiovascular Medicine (2022)

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Pooria Ahmadi

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