COLLECTIVE MINDS RADIOLOGY AB

Their core work

Collective Minds Radiology is a Swedish health-tech SME specialising in AI-powered radiology software — platforms that enable clinicians to annotate, share, and analyse medical imaging data at scale. In EU research projects, they contribute as a technology partner bringing production-grade infrastructure for collaborative imaging data management, radiomics feature extraction, and AI model deployment in clinical settings. Their work bridges the gap between raw medical images and actionable AI insights, covering the full pipeline from data governance and ethical interoperability to disease-specific AI applications such as pancreatic cancer detection. They operate at the intersection of radiology, oncology informatics, and regulatory-compliant AI.

What they specialise in

How they've shifted over time

Their H2020 entry point (EuCanImage, 2020) focused on building the foundational infrastructure layer: data governance, ethical and legal interoperability across borders, AI passport standards, and the clinical requirements for large-scale cancer imaging repositories. As they moved into PANCAIM (2021), the emphasis shifted decisively toward disease-specific AI application — pancreatic cancer in particular — integrating genomic and pathological data with imaging to drive personalised treatment decisions. The trend is clear: from platform-building and governance frameworks toward domain-specific, data-rich AI that produces clinical outcomes.

They are moving from infrastructure and compliance roles toward becoming a specialist AI contributor in oncology diagnostics, particularly where imaging must be fused with genomic and clinical data for personalised medicine.

How they like to work

Collective Minds Radiology participates exclusively as a consortium partner — they have never coordinated an H2020 project, suggesting they prefer to contribute specialist technology rather than lead administrative coordination. With 31 unique partners across 13 countries in just 2 projects, they are embedded in large, diverse consortia, which is typical for RIA projects in digital health. This profile indicates a company that is comfortable operating as a trusted specialist node within complex multi-partner arrangements.

Despite only two projects, they have built a remarkably broad network of 31 partners spanning 13 countries, reflecting the large-consortium structure of their RIA projects. Their collaborations are pan-European in scope, consistent with projects requiring multi-site clinical imaging data.

What sets them apart

Collective Minds Radiology occupies a rare niche as a commercial SME that provides production-ready imaging AI platforms within academic research consortia — most competitors in this space are either pure research groups or large enterprise vendors. Their dual competence in AI governance and operational radiology software makes them credible both to hospital IT departments and to regulatory bodies evaluating AI passports. For consortium builders, they bring commercial product maturity to projects that typically struggle to bridge the gap between research prototype and clinical deployment.

Highlights from their portfolio

• PANCAIM
  Their largest project by far at EUR 1,441,000 EC funding, integrating imaging, genomics, and pathomics data for pancreatic cancer — one of the hardest cancers to diagnose early — making this a high-impact, high-visibility clinical AI challenge.
• EuCanImage
  A foundational pan-European cancer imaging platform project that put Collective Minds in the room where AI governance standards and cross-border data interoperability rules for medical imaging are being written.