Ottawa Symposium for AI in Health Research
Oct 23, 2025 — 9 a.m. to 5 p.m.
An in-person event that brings together Ottawa’s health research community to explore the role of AI in health through presentations, interactive sessions and networking across disciplines and institutions.
Event details
This symposium is a unique opportunity to:
- Connect with peers across disciplines and institutions
- Share insights on emerging AI applications in health research
- Discuss innovations, implementation challenges, and ethical considerations
- Foster future research collaborations
The event will focus on networking, collaboration, and knowledge sharing and will feature lightning talks, roundtable discussions, interactive workshops, and a trainee poster session. Attendees will share ideas and current work and explore opportunities for collaboration across disciplines and institutions.
Symposium Objectives
- Facilitate networking and collaboration among AI and health researchers in Ottawa
- Encourage interdisciplinary partnerships across institutions
- Showcase current research and foster dialogue on innovations and implementation
- Highlight emerging AI applications that enhance health research and patient care
Symposium Themes
Theme 1: Innovations and methodologies in AI for health and biomedical research
- Advances in machine learning algorithms for medical imaging
- AI methodologies in genomics and bioinformatics
- Computational modelling in health sciences
Theme 2: Enhancing research effectiveness through AI: From synthesis to implementation
- AI-assisted literature reviews and meta-analyses
- Machine learning in knowledge translation
- AI applications in research, collaboration, and workflow optimization
Theme 3: AI in practice: Transforming clinical and research landscapes
- Evaluating AI decision support systems in clinical practice
- Implementation strategies for AI tools in healthcare settings
- Impact of AI applications on patient care and outcomes
Theme 4: Ethics, equity, and regulation in AI for health
- Navigating privacy and data protection laws in AI health research
- Addressing algorithmic bias and ensuring equity in AI tools
- Canadian regulatory frameworks for AI in health
Who Should Attend?
- Health researchers and data scientists (working or interested in working at the intersection of health research and AI)
- Clinicians using or exploring AI tools
- Administrators (e.g., IT, REB, grants, contracts, innovation, and technology transfer offices)
- Research staff (e.g., program managers, research coordinators, research assistants)
- Trainees (undergraduate and graduate students, and postdoctoral researchers)
NOTE: Trainees must be selected to attend the event - trainees selected to attend will be determined by a competitive review of the trainee call for abstracts submissions.
Check back soon for agenda and registration details.
Fill out the participation form for researchers, clinicians and staff (non-trainees)
Submit an abstract if you are a trainee interested in presenting