308 - AI IN CARDIOVASCULAR MEDICINE TODAY, AND TOMORROW

Saturday, October 25, 2025

8:30am - 9:30am ET

Room:307AB

Target Audience: Trainee (research), Trainee (clinical)

Co-Chair(s)

SH

Sanaz Hatami, Dr.

PhD candidate
University Of Alberta
SP

Sam Papernick

Presenter(s)

RN

Rashmi Nedadur

Planning Committee Member(s)

Veronica Chan, MD (she/her/hers)

Internal Medicine Resident
SH

Sanaz Hatami, Dr.

PhD candidate
University Of Alberta
Braeden Hill, BHSc

MD/PhD Student
University of Toronto
University of Toronto
SP

Sam Papernick

Workshop Description: Artificial intelligence is reshaping cardiovascular medicine and today’s trainees are poised to lead its next chapter. This session introduces how AI is being applied across cardiovascular care and research, from diagnostics and risk prediction to data-driven discovery. Learn from experts about real-world use cases, emerging innovations, and how trainees can get involved in this rapidly evolving field. Whether you're curious or already exploring AI, this session will provide the insight and direction to help you engage meaningfully with the future of cardiovascular medicine.

Learning Objectives:

At the end of this session participants will be able to:

to understand the current clinical applications of artificial intelligence in cardiovascular medicine, including diagnostic support, risk stratification, and workflow optimization;
to explore emerging innovations in AI-driven cardiovascular research, such as predictive modeling, machine learning in imaging, and integration with large-scale health data;
to identify opportunities for medical and research trainees to engage with AI in cardiovascular science, including research involvement, skill development, and interdisciplinary collaboration; and
to examine the key challenges and ethical considerations in implementing AI in clinical practice, including data privacy, algorithmic bias, and regulatory oversight.