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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.

This event is by invitation only. Please express your interest in participating by completing the form below.