AI in Oncology by 2030 Strategy Lab

Designing resilient cancer care systems

About the Workshop: Shaping the Future of AI in Oncology Together

 

 

On 5 October 2026, the Management in Innovative Health Chair at EDHEC Business School, in partnership with Unicancer and the French League Against Cancer (La Ligue contre le cancer), and with the support of Ethik-IA and IRCAD France, brought together experts from clinical practice, research, healthcare management, public institutions and industry for the AI in Oncology by 2030 Strategy Lab, held at EDHEC's Paris campus.

 

 

The event examined the conditions required to move artificial intelligence in oncology beyond isolated pilot initiatives towards safe, sustainable and scalable implementation across European healthcare systems.

 

 

Discussions highlighted that the effective integration of AI cannot be addressed through technological performance alone. It also requires consideration of regulatory frameworks, organisational readiness, clinical value, professional practices and the allocation of responsibilities among healthcare stakeholders.

 

 

Combining expert-led strategic foresight workshops with a multidisciplinary roundtable, the Strategy Lab provided an opportunity to examine competing priorities, identify implementation barriers and explore potential pathways for the European oncology ecosystem.

 

 

The perspectives and recommendations developed throughout the day will inform a forthcoming white paper outlining strategic priorities and operational considerations for the responsible deployment of AI in European cancer care.

 

 

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Key insights from the discussions

Regulation and accountability

Examining how evolving European regulatory frameworks affect clinical responsibilities, medical device safety, liability and the governance of AI-enabled healthcare solutions.

Organisational readiness and implementation

Understanding the organisational capabilities, professional competencies and operational changes required to integrate AI into routine oncology care.

Clinical value and data governance

Identifying high-value applications while addressing data quality, interoperability, real-world evidence and the evaluation of benefits for patients and healthcare systems.

European cooperation and strategic autonomy

Exploring how cross-sector partnerships, regulatory alignment and coordinated investment can support the development and deployment of AI solutions across European healthcare systems.

Towards a European roadmap for AI in oncology

The findings generated through the Strategy Lab will contribute to a white paper examining the strategic, regulatory and organisational conditions required for the responsible integration of artificial intelligence into European cancer care.

Bringing together perspectives from the workshops and closing roundtable, the publication will seek to identify actionable priorities for healthcare institutions, policymakers, researchers and industry stakeholders.