Table 1 Demographics of Canadian subject matter experts
From: Developing a Canadian artificial intelligence medical curriculum using a Delphi study
Demographic | Respondents (no.) |
|---|---|
Sex (n = 18) | |
Male | 10 |
Female | 8 |
Degree(s) held (n = 30) |  |
Master’s of Science (or equivalent) | 6 |
Master of Public Health | 1 |
Master of Health Informatics | 1 |
Doctor of Philosophy | 11 |
Doctor of Medicine (or equivalent) | 10 |
Clinical speciality (n = 8) | |
Cardiology | 1 |
Diagnostic Radiology | 3 |
General Internal Medicine | 1 |
Neurology | 1 |
Psychiatry | 1 |
Urologic Sciences | 1 |
Province of origin (n = 18) | |
Alberta | 1 |
British Columbia | 10 |
Newfoundland and Labrador | 1 |
Nova Scotia | 2 |
Ontario | 4 |
Affiliated institution (n = 28) | |
Dalhousie University | 2 |
Memorial University of Newfoundland | 1 |
Queen’s University | 1 |
University of Alberta | 1 |
University of British Columbia | 9 |
University of Calgary | 1 |
University of Toronto | 2 |
University of Victoria | 1 |
University of Western Ontario | 1 |
Vancouver General Hospital | 1 |
BC Children’s Hospital | 1 |
Canadian Institute for Advanced Research | 1 |
Simon Fraser University | 1 |
St. Paul’s Hospital | 1 |
Alberta Machine Intelligence Institute | 1 |
Fraser Health Authority | 1 |
London Health Sciences Centre | 1 |
Vancouver Prostate Centre | 1 |
