Our mission is to create practical, equitable AI solutions to revolutionize cardiovascular care.
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The Heartwise AI Lab at the Montreal Heart Institute merges medical imaging, multi-omics, and deep learning under the guidance of Dr. Avram. Our mission is to create practical, equitable AI solutions to revolutionize cardiovascular care. Equipped with crucial clinical datasets, state-of-the-art genomic data, and advanced deep learning clusters, we undertake complex research initiatives. Our team is diligently working on computer vision algorithms for better coronary angiogram interpretation and signal processing techniques for ECG interpretation. We're equipped with significant cloud storage and deep learning clusters, ensuring we have the computational power for large-scale, cutting-edge AI models.
The 12-lead electrocardiogram (ECG) is a fundamental tool for diagnosing heart disease. However, artificial intelligence (AI) solutions developed to date are often limited: they lack generalizability, are rarely open-source, and rely primarily on supervised learning, which hinders their adaptation to diverse clinical settings.
Accurate left ventricular ejectionfraction (LVEF) assessment is crucial in acute coronary syndrome (ACS)management but traditional methods like echocardiography (TTE) andventriculography have limitations such as risks, contrast exposure, andlogistical delays.The CathEF study introduced adeep-learning algorithm integrated with the PACS-AI (www.pacsai.co) platform,providing real-time LVEF estimates directly from routine coronary angiographyvideos, without extra catheterization or contrast.
Our researchers at the Heartwise AI Lab dive into an array of research areas:
Cardiovascular imaging and informatics using deep learning
AI-driven precision medicine in cardiology
Clinical decision support in cardiovascular care
Clinical research informatics in cardiovascular diseases
Informatics for real-world AI solutions in cardiovascular health
Natural language processing in cardiology
Patient-centered AI in cardiovascular care
AI infrastructure and computational capabilities for cardiovascular research
Integration of AI in health care delivery and digital health.
Design of advanced AI models for ECG, imaging, and multimodal cardiovascular data.
Real-time integration of AI into care pathways through platforms such as APCS-AI and DeepECG.ai.
Rigorous evaluation of AI impact through pragmatic studies and randomized controlled trials.
