Robert Avram
Appointment
Solution Network Co-Director
Integrated AI for Health Imaging
Pan-Canadian AI Strategy
About
Avram is an interventional cardiologist, AI researcher, and software developer. His research focuses on developing and implementing artificial intelligence algorithms to improve patient care and outcomes in cardiology. Specifically, he is interested in using deep learning techniques to analyze medical images such as coronary angiograms and echocardiograms to aid in diagnosis and treatment planning. He also works on developing software tools for AI-assisted clinical decision support and remote patient monitoring.
Awards
- FRQS Clinical Research Scholar - Chercheur Clinicien FRQS – Junior 1 (2022)
- Montreal Heart Institute Early Career Funding (2021)
- University of Montreal Department of Medicine Early Career Grant (2021)
Relevant Publications
- Avram, R., Barrios, J. P., Abreau, S., Goh, C. Y., Ahmed, Z., Chung, K., So, D. Y., Olgin, J. E. & Tison, G. H. (2023). Automated Assessment of Cardiac Systolic Function From Coronary Angiograms With Video-Based Artificial Intelligence Algorithms. JAMA Cardiology, 8(6). https://doi.org/10.1001/jamacardio.2023.0968
- Avram, R., Olgin, J. E., Kuhar, P., Hughes, J. W., Marcus, G. M., Pletcher, M. J., Aschbacher, K. & Tison, G. H. (2020). A digital biomarker of diabetes from smartphone-based vascular signals. Nature Medicine, 1–7. https://doi.org/10.1038/s41591-020-1010-5
- Avram, R., Olgin, J. E., Wan, A., Ahmed, Z., Verreault-Julien, L., Abreau, S., Wan, D., Gonzalez, J. E., So, D. Y., Soni, K. & Tison, G. H. (2021). CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks. ArXiv.
- Avram, R., Ramsis, M., Cristal, A. D., Nathan, V., Zhu, L., Kim, J., Kuang, J., Gao, A., Vittinghoff, E., Rohdin-Bibby, L., Yogi, S., Seremet, E., Carp, V., Badilini, F., Pletcher, M. J., Marcus, G. M., Mortara, D. & Olgin, J. E. (2021). Validation of an Algorithm for Continuous Monitoring of Atrial Fibrillation Using a Consumer Smartwatch. Heart Rhythm. https://doi.org/10.1016/j.hrthm.2021.03.044
- Langlais, É. L., Thériault-Lauzier, P., Marquis-Gravel, G., Kulbay, M., So, D. Y., Tanguay, J.-F., Ly, H. Q., Gallo, R., Lesage, F. & Avram, R. (2022). Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications. Journal of Cardiovascular Translational Research, 1–13. https://doi.org/10.1007/s12265-022-10260-x