MO8 - AI-ENHANCED IMAGING AND CARDIOMYOPATHY PHENOTYPING - ABSTRACT PRESENTATIONS

Chair(s)

• 

  Howard Leong-Poi, MD, FRCPC, FCCS, FACC, FASE

  Medical Director, Heart, Lung & Vascular Program
  St. Michael's Hospital, Unity Health Toronto
  University of Toronto

Presenting Author(s)

• 

  Mireille Bherer, MSc (she/her/hers)

  PhD Student
  Université Laval
• 

  Faezeh Lotfikazemi, PhD candidate

  PhD candidate
  McGill University
• YW

  Yifan Wang, BSc (he/him/his)

  Medical Student
  University of Ottawa

Through four abstract presentations, this session explores how artificial intelligence is advancing cardiovascular imaging and disease classification. Topics include synthetic T1 mapping using GANs, new echocardiographic parameters for mitral regurgitation, and unsupervised clustering in non-ischemic cardiomyopathy—bridging AI, imaging, and precision cardiology.

Presentations:

Mireille Bherer – A Novel Echocardiographic Parameter to Assess Right Ventricle and Outcomes in Asymptomatic Primary Mitral Regurgitation

Faezeh Lotfikazemi – Synthetic T1 Map Generation Using R-GAN for Non-Contrast Myocardial Fibrosis Detection

Yifan Wang – Unsupervised Phenotypic Clustering in Dilated and Hypokinetic Non-Dilated Forms of Non-Ischemic Cardiomyopathy and Associations with Future Clinical Outcomes