Rationale and Design of an Artificial Intelligence Model for Diastolic Heart Failure (AID-HF): A Canadian Cardiomyopathy Collaborative (C3) Study
Tanya Papaz(University of Toronto), Seema Mital(University of Toronto), Rajadurai Akilen(Hospital for Sick Children), Christopher Z. Lam(Hospital for Sick Children), Sandar Min(Hospital for Sick Children), Robert Lesurf(James S. McDonnell Foundation), Andréea Dragulescu(Art Research Centre of the Slovak Academy of Sciences), Luc Mertens(University of Toronto), M Ruiz(Montreal Heart Institute), Suhani Patel(Hospital for Sick Children), Mark K Friedberg(University of Toronto), Jean-Lucien Rouleau(Montreal Heart Institute), Maxime Tremblay‐Gravel(Montreal Heart Institute), Rafik Tadros(Montreal Heart Institute), Andrew D. Krahn(University of British Columbia)
Cited by 0
Related Papers
CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer
|Nature Genetics|2017|673
Analysis of Cause-Specific Mortality in the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) Study
|Circulation|2004|229
Patient satisfaction and health‐related quality of life after autologous tissue breast reconstruction
|Cancer|2011|192
Myocarditis and Pericarditis After COVID-19 mRNA Vaccination: Practical Considerations for Care Providers
|Canadian Journal of Cardiology|2021|66