Norway Advances AI Integration in Pathology: NorPrem Report Outlines Strategic Path Forward
Oslo, Norway — A newly released report from NorPrem, with contributions from PiV members Sabine Leh, Silje Kristiansen, and Emma Rewcastle, highlights Norway’s strategic ambition to integrate artificial intelligence (AI) into pathology diagnostics. While the potential is clear, the report also addresses the practical, legal, and professional challenges that must be resolved to ensure safe and effective implementation.
Digital Readiness and Implementation Pathways
Norwegian pathology departments are either fully digitalized or nearing full digitalization, placing them in a strong position to adopt AI tools. The implementation process typically follows a structured sequence: identifying clinical needs, conducting market research, initiating procurement, validating tools, and transitioning to clinical use.
Limited Tools and Procurement Strategies
Currently, few CE-certified AI tools are available for pathology, and those that exist tend to serve narrowly defined tasks. This limitation underscores the importance of thorough needs assessments and realistic expectations. Competitive negotiation is recommended for procurement, although platform-based solutions—successfully used in radiology—could streamline the process if adapted for pathology. However, such platforms are not yet available in this field.
Models for AI Adoption
The report outlines two primary models for AI implementation: centralized regional procurement, as practiced in Helse Vest, and a flexible network-based model, exemplified by Vestre Viken’s radiology experience. The latter approach, which includes dedicated “AI physicians,” has proven effective in promoting collaboration, task distribution, and knowledge sharing. Similar networks are now forming in pathology and are seen as essential for building expertise and ensuring safe clinical integration.
Validation and Regulatory Compliance
A challenge is the lack of clear established guidelines for verifying and validating AI tools in pathology. This gap complicates efforts to ensure safe use. The forthcoming EU AI Act will introduce stricter requirements for documentation and monitoring. Pathologists and healthcare institutions must therefore prioritize training, transparency, and the development of efficient workflows.
Educational Implications
The report raises concerns about the impact of AI on medical education and professional development. While AI can enhance efficiency, it may also lead to automation bias and a decline in core diagnostic skills. Careful integration of AI into pathology training programs is necessary to maintain clinical competence.
Recommendations for Safe Integration
To support a coordinated and safe rollout of AI in pathology, the report recommends several key measures:
- Establish interdisciplinary regional support structures.
- Develop national guidelines for AI use in specialist training and general upskilling.
- Create pathology-specific AI platforms.
- Define strategies for maintaining human oversight.
Looking Ahead
The report also calls for improved benefit assessments that consider both direct and indirect effects. It encourages innovation beyond commercial markets and emphasizes Norway’s responsibility to contribute to international progress through research and experience sharing, given its strong position in digital pathology.