Event Description

Join us for the Ottawa Symposium for AI in Health Research on Thursday, October 23, 2025, at the Canadian Museum of Nature. This full-day, in-person event will bring together researchers, clinicians, trainees, and staff from across Ottawa’s academic, clinical, and research institutions to explore the evolving role of artificial intelligence in health research.

This symposium is a unique opportunity to:

✅ Connect with peers across disciplines and institutions

✅ Share insights on emerging AI applications in health and biomedical sciences

✅ 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, 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
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.

Agenda

Important Note

Mike Hendley is not the organizer of this event, but the account owner at the Ottawa Hospital Research Institute (OHRI). This event is organized by a planning committee composed of 20+ members from multiple disciplines across Ottawa's academic, clinical, and research institutions. If you have any questions about the event, please email had_ai@ohri.ca (rather than using the contact button).

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Ottawa Symposium for AI in Health Research

Ottawa Symposium for AI in Health Research

Event Info

Hosted By:

OHRI

OHRI

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