Robert Avram

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

2024 · 53 Zit. · Journal of the American College of Cardiology

Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble

2021 · 50 Zit. · Frontiers in Cardiovascular Medicine

A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform

2024 · 26 Zit. · Canadian Journal of Cardiology

Maximising Large Language Model Utility in Cardiovascular Care: A Practical Guide

2024 · 20 Zit. · Canadian Journal of Cardiology

Revolutionising Acute Cardiac Care With Artificial Intelligence: Opportunities and Challenges

2024 · 19 Zit. · Canadian Journal of Cardiology

The Rise of Open-Sourced Machine Learning in Small and Imbalanced Datasets: Predicting In-Stent Restenosis

2020 · 13 Zit. · Canadian Journal of Cardiology

Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology

2024 · 11 Zit. · Canadian Journal of Cardiology

Voice-assisted Artificial Intelligence-enabled Screening for Severe Acute Respiratory Syndrome Coronavirus 2 Exposure in Cardiovascular Clinics: Primary Results of the VOICE-COVID-19-II Randomized Trial

2023 · 10 Zit. · Journal of Cardiac Failure

Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study

2023 · 8 Zit. · Journal of Cardiovascular Translational Research

Artificial Intelligence in Cardiovascular Medicine: From Clinical Care, Education, and Research Applications to Foundational Models—A Perspective

2024 · 4 Zit. · Canadian Journal of Cardiology

AI-RISE to the Challenge — Artificial Intelligence Reduces Time to Treatment in STEMI

2024 · 4 Zit. · NEJM AI

Opportunities and Challenges of Mobile Health Tools to Promote Health Behaviors

2022 · 3 Zit. · Circulation

Implementing Machine Learning in Interventional Cardiology: The Benefits are Worth the Trouble

2021 · 1 Zit.

TCT-894 Development and Internal Validation of an AI-Driven Model for 5-Year Cardiovascular Disease Risk Prediction in the Canadian Longitudinal Study on Aging: Comparative Performance vs. Traditional Risk Scores

2025 · 0 Zit. · Journal of the American College of Cardiology

“A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform [Canadian Journal of Cardiology Volume 40, Issue 10, October 2024, Pages 1828-1840]”

2025 · 0 Zit. · Canadian Journal of Cardiology