Artificial Intelligence Advancing Echocardiology and Patient Care

Welcome to the VGH-UBC Artificial Intelligence Echo Core Lab

Our research lab offers third-party interpretation of echocardiographic studies for clinical trials and serves as consultants or collaborators for studies worldwide. Our echocardiographers have trained at world-renowned institutions and contribute extensive research and clinical experience.  In addition, we leverage our position as the highest volume clinical echo lab in Western Canada (performing 25,000 studies annually) and the computing power of UBC Advanced Research Computing (ARC) to develop innovative in-house machine learning models.

Our AI Echo platform is expanding with the support of the Canada Foundation for Innovation, which is funding the infrastructure to link cardiac imaging with clinical data across the province (PopdataBC) and beyond. The AI Echo Core Lab will form the foundation for a modern platform that connects our extensive imaging data with key clinical factors to develop state-of-the-art AI models that integrate clinical outcomes, risk factors, and genomics.

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Learn More About Our Services

Data Interpretation

Services provided by the Echo Core Lab are available to all investigators who require third-party interpretation of echocardiographic data for clinical trials.

AI Model Development

This unique offering includes labeling, development, testing, and internal and external validation of novel AI algorithms focused on cardiac ultrasound data.

Protocol Design

The Echo Core Lab can advise on protocol design to define specific echo measurements that will be most relevant and feasible for each study.

Current Research Studies

  • MOSAIC – Multi-Omics and Sonography to Advance Integrated Cardiac Care
  • COMPLETE TAVR
  • Canadian Longitudinal Study of Aging, Echo measurement
  • Fabry Disease Screening in the Echo Lab
  • MAPLE-CHF
  • HEART-AI: High-precision Echo Assessment and Risk Triage of heart failure using Artificial Intelligence
  • TRAP-AF: Association between TR severity and Atrial fibrillation burden in patients with dual-chamber Pacemakers
  • VECTOR- Variants Evaluated for Cardiometabolic and Pharmacogenomic Tiers Of Risk
  • Application of AI models on clinically indicated cardiac POCUS
  • Machine Learning Empowered Cardiac Ultrasound for the Management of Acute Coronary Syndrome
  • Echo predictors of TTR cardiac amyloidosis
  • TR Prevalence and Progression in Longstanding Persistent AF
  • Prevalence and prognostic value of right ventricular dysfunction in patients with anthracycline-induced cardiotoxicity
  • Prevalence, progression, and practice pattern of newly diagnosed treatable severe aortic stenosis in British Columbia (B.C.): Aortic stenosis in B.C. Data (ABCD) Study

Our faculty are dedicated to achieving unparalleled quality assurance.

VGH UBC Echo Lab and Artificial Intelligence Echo Core Lab respectfully acknowledge that our space is located on the unceded traditional territories of the Coast Salish peoples, including the territories of the xʷməθkwəy̓əm (Musqueam), Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh) and Skwxwú7mesh (Squamish) Nations, the traditional custodians of these lands.

Address
889 West 12th Avenue
Vancouver, BC,
V5Z 1M9

Canada

Email
echo.lab@ubc.ca

Phone
604-875-4800

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