Cardiac Imaging AI
Artificial intelligence across echocardiography, ultrasound, cardiac CT, and CMR — translating imaging signals into reliable clinical insight.
Physician-Researcher · MD
Pooya Eini, MD
Cardiac Imaging & Clinical Artificial Intelligence
I build and evaluate machine-learning models for diagnosis and prognosis in cardiovascular medicine — with a focus on echocardiography, cardiac imaging, and clinically meaningful risk stratification through rigorous evidence synthesis.
- 250+ Citations
- 10 h-index
- 10 i10-index
- 60+ Publications
Google Scholar metrics · updated 2026
01 — Profile
About
I am a physician-researcher with a focused profile in cardiovascular medicine, cardiac imaging, and clinical artificial intelligence. My work centers on machine-learning–based diagnostic and prognostic models — particularly in echocardiography, ultrasound-based cardiovascular assessment, multimodal clinical prediction, and risk stratification.
I have extensive experience in systematic reviews, meta-analyses, study design, scientific writing, and the evaluation of AI models for clinically meaningful cardiovascular outcomes. I care about models that are not only accurate, but well-calibrated, validated, and genuinely useful at the bedside.
02 — Focus Areas
Research Focus
Risk Prediction Modeling
Prognostic models for heart failure, stroke, cardiometabolic and valvular disease, and post-procedural outcomes.
ML Model Evaluation
Performance synthesis, calibration, external validation, and clinical-utility assessment of diagnostic and prognostic algorithms.
Evidence Synthesis
Meta-analysis of AI-based diagnostic and prognostic models to establish what actually works in cardiovascular medicine.
03 — Selected Work
Publications
Selected first-author systematic reviews and meta-analyses. A complete, continuously updated record is available on Google Scholar.
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2026
Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis
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2026
Machine Learning and Regression-Based Models for Prediction of Postoperative Atrial Fibrillation Following Coronary Artery Bypass Grafting: A Systematic Review and Meta-Analysis
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2026
Heart failure in a 10-year-old girl: incidental discovery of adrenal adenoma by cardiac MRI — case report
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2026
Accuracy of machine learning models for mitral regurgitation severity assessment: A systematic review and meta-analysis
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2026
Accuracy of machine learning models in predicting recurrent venous thromboembolism: a systematic review and meta-analysis
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2026
MicroRNA Expression Profiles in Abdominal Aortic Aneurysms: A Systematic Review of Potential Diagnostic and Prognostic Biomarkers
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2025
Efficacy and comparative performance of machine learning models for stroke risk prediction in hypertensive patients: A systematic review and meta-analysis
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2025
Machine learning-based classification of carotid plaques via ultrasound: a systematic review and meta-analysis of diagnostic performance
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2025
Machine Learning Applications in the Diagnosis and Prediction of Aortic Dissection: A Systematic Review and Meta-Analysis
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2025
Advancing Mortality Prediction in Pulmonary Embolism Using Machine Learning Algorithms — Systematic Review and Meta-Analysis
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2025
Diagnostic Performance of Machine Learning Algorithms for Predicting Heart Failure in Diabetic Patients: A Systematic Review and Meta-Analysis
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2025
Machine learning models for carotid artery plaque detection: a systematic review of ultrasound-based diagnostic performance
Selected Manuscripts Under Review
- CT Mitral Valve Calcium Score and Immediate Outcomes After Percutaneous Transvenous Mitral Commissurotomy
- Left Main Coronary Artery Stenosis Assessment on Coronary CT Angiography
- Artificial Intelligence–Based Detection of Coronary Atherosclerotic Plaque Using Intravascular Ultrasound Imaging: A Systematic Review and Meta-analysis
- Diagnostic Accuracy of AI-Based Models for Pulmonary Edema: A Systematic Review and Meta-analysis
04 — Background
Experience & Education
Research Experience
2025 — present
Research Assistant
Shaheed Rajaie Cardiovascular Medical & Research Center, Tehran
2023 — present
Research Assistant
Toxicological Research Center, Shahid Beheshti University of Medical Sciences
2023 — present
Research Assistant
Immunology and Cancer Research Center, Shahid Beheshti University of Medical Sciences
Education
2017 — 2024
Doctor of Medicine (MD)
Shahid Beheshti University of Medical Sciences, Tehran, Iran
Selected Training
- Linear Regression in R for Public HealthImperial College London
- Introduction to Statistics & Data Analysis in Public HealthImperial College London
- Computing for Cancer InformaticsJohns Hopkins University
- Cancer BiologyJohns Hopkins University
- Introduction to Breast CancerYale University
- Immunology: The Immune System and Its FailuresImperial College London
05 — Get in Touch
Let's connect
Open to research collaboration, co-authorship, and discussion on cardiac imaging and clinical AI.
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