Deploying Trustworthy AI in Healthcare: What Matters Now
Around 200 AI-minded professionals from SMEs, healthcare providers, academia, decision-makers, and AI service partners met at Karolinska Institutet (KI) to talk about one thing: making AI work in real clinical settings. The keynote by Kevin Groot Lipman shared hands-on lessons from implementing AI at The Netherlands Cancer Institute-what sticks, what stalls, and how to move faster without risking care quality.
EU-backed momentum with TEF-Health and Health Data Sweden
The event, hosted by TEF-Health with Health Data Sweden, focused on reducing barriers to clinical adoption. These EU-funded initiatives support SMEs and innovators with practical help, not theory.
The Swedish TEF-Health node is led by KI together with RISE. KI's Centre for AI Innovation, SciLifeLab, and Centre for Imaging Research are involved. Teams from Finland, France, Germany, Slovakia, and Sweden presented ways to bring AI into care settings-safely and at scale.
- Access to quality health data
- Testing in real clinical environments
- Expert consulting-clinical and regulatory
Virginia Nilsson highlighted Karolinska University Hospital's commitment to push AI forward through collaboration. The message was clear: progress happens when SMEs, clinicians, and researchers build together, test early, and keep patient value front and center.
What this means for healthcare leaders
- Start with one high-impact use case where data access and workflow fit are realistic.
- Involve clinicians from day one; trust is built through shared design and transparent metrics.
- Use testing facilities to run constrained pilots before scaling across departments.
- Treat regulatory work as a parallel track-clinical evidence, documentation, and risk management cannot be an afterthought.
- Measure what matters: safety, time saved, cost avoided, and patient outcomes.
- Plan for adoption: training, change management, and clear accountability.
How TEF-Health can help
- Discounted services for SMEs to lower cost and risk.
- Secure access to datasets and evaluation environments that reflect clinical reality.
- Clinical partners for pilots and feedback loops that actually improve models.
- Regulatory guidance to align with EU requirements and speed up approvals.
- Cross-border collaboration so successful pilots don't stay siloed.
Initiatives like TEF-Health and Health Data Sweden are closing the gap between research and bedside use. The focus is on dependable, clinically relevant AI that patients and clinicians can trust across Europe.
Learn more: EU Testing and Experimentation Facilities (TEFs) | Health Data Sweden
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