A consortium of research labs, industry relationships and hospital initiatives that use AI technology in translational research in JDMI
Steering Committee Members
Dr. Heidi Schmidt
Chair
Dr. Masoom Haider
Co-Director
Dr. Stephen Herman
Co-Director
Dr. Chris McIntosh
Co-Director
Catherine Wang
Member
Dr. Luke Brzozowski
Member
Leon Goonaratne
Member
Caitlin Gillan
Member
Team Members
Agata Misiura
Analyst
Paige Gilbank
Analyst
Greg Bootsma
Staff Scientist
Steve Ansell
Software Developer
External Intake
- Company approaches JDMI leadership or clinician for collaboration on a project or initiative
- Appropriate subject matter expect or clinician scientist is identified
- Meeting with JDMI AI Centre + Project Leads
- Data scientist helps to determine feasibility
- Is there a question that can be answered using potential data available?
- Is this a worthwhile question?
- Is data available on an ongoing basis?
- AI Centre liaises with data repository teams to assess whether requested data is findable/accessible
Resources
Analysts:
Work closely with the data scientist and clinician scientists/investigators to understand which data resources/databases/data lakes are available within UHN and outside of UHN which can then be correlated with imaging to build comprehensive clinical models.
Software Developer(s):
Work with researchers/clinicians to develop front end solutions which will enable the translation of peer reviewed algorithms from the research environment to clinical viability.
Data Scientist:
Gives guidance on the best technology or algorithms to be used for a particular project or initiative in addition to working with clinician scientists to envision clinical questions which can be answered using AI/ML.
Staff Scientist:
Works with clinician scientists/investigators to support development of models and to provide front end solutions which will enable the translation of peer reviewed algorithms from the research environment to clinical viability.
