
Update on the Study on AI in the Life Sciences Sector

Quebec—and particularly Montreal—has established itself as a leader in the application of artificial intelligence (AI) to the life sciences and health technologies (LSHT) sector. This unique convergence of technological, scientific, and industrial strengths positions the city at the forefront of innovation, attracting strategic investments and global partnerships.
In this context, Montréal InVivo commissioned Innovitech to update the study on AI in life sciences in Québec.
Objective: To provide an up-to-date analysis to better understand the adoption, barriers, and enablers of artificial intelligence in our healthcare ecosystem, and to propose a shared strategic vision to reinforce Québec’s leadership role in this key domain. A particular focus was placed on involving as many stakeholders as possible to ensure strong representativeness and a nuanced understanding of real-world needs.
Achievements:
Ecosystem Mobilization
More than 160 stakeholders were engaged through surveys, interviews, and workshops conducted as part of a province-wide outreach tour. By emphasizing a participatory approach grounded in user experience, the study gathered concrete, field-aligned recommendations. This engagement was further enabled by targeted, mobilizing communication throughout the process.
Broad Solution Pathways
Identification of innovation drivers at the provincial and national levels, based on insights gathered during individual interviews:
- Facilitating data access and establishing a regulatory framework
- Awareness-building, education, and change management
- Feasibility and integration
- Funding and talent retention
- Commercialization, procurement, and reimbursement
- Responsible and ethical deployment of AI
Prioritized Collective Solutions
Recommendations from provincial workshops, centered on four major pillars:
- Access, transfer, and regulation of data
- Real-world health setting demonstrations of AI tools (interoperability, evaluation, access)
- Funding, commercialization, and procurement of AI tools in Québec’s healthcare system
- Ethical and responsible AI in healthcare
International Benchmarking
Analysis of inspiring international initiatives around five axes: investment, R&D, training, public policy, and data infrastructure.