AI4Health.Cro was featured as a concrete “what works” example of digital health innovation during the Croatian Health Employers’ Conference, held in Opatija on 6–7 November 2025 under the auspices of the Ministry of Health of the Republic of Croatia.
Organised by the Croatian Health Employers’ Association (UPUZ-HR)—also a consortium partner of AI4Health.Cro—the two-day event brought together around 500 participants across the healthcare ecosystem and the wider healthtech landscape, through 15 expert lectures and 11 panels.
Why this matters: digitalisation is the layer that makes AI real
When healthcare leaders talk about “full digitalisation,” they’re describing the infrastructure and governance needed to turn innovation into system-level improvement: data readiness, interoperability, clinical workflow fit, accountability, and scale. It’s the difference between promising prototypes and tools that can be implemented.
That is why it was significant to see the AI4Health.Cro Innovation Challenges presented as a practical success story on the panel “Full Digitalisation of the Healthcare System.”
What was highlighted: AI4Health.Cro Innovation Challenges as a pipeline from prototypes to practice
On the panel, Jelena Curać (HZZO) highlighted AI4Health.Cro’s three completed innovation challenges as an example of how targeted problems, structured evaluation, and real-world constraints can produce AI tools with clear clinical and organisational value.
Across the innovation challenges, AI4Health.Cro has focused on solutions that:
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address specific, high-impact bottlenecks in the system
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can reduce burden for clinicians and care teams
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have the potential to improve outcomes over time through better decision support
From use case to tool: examples from recent challenges
AI4Health.Cro’s challenge topics have targeted concrete and measurable problems, including:
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Predicting early rehospitalisation / 30-day readmission risk (Innovation Competition 2024), with results presented through the AI4Health.Cro ecosystem.
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Breast cancer lesion classification and localisation in mammography (Innovation Competition 2025), designed to advance imaging-based decision support.
This approach reflects a deliberate shift: less “AI as a headline,” more AI as a deployable capability—built around real data constraints, evaluation, and implementation pathways.
What’s next for teams building in healthtech
AI4Health.Cro will continue using this challenge-driven approach to connect real healthcare needs with real technical execution. Signals from the ecosystem suggest that an Innovation Challenge round may follow in 2026, and teams that prepare their use case, data strategy, and delivery plan early will be best positioned to move fast when the call opens.
We thank UPUZ-HR, our consortium partner, for organising a strong national forum in Opatija and for creating space to spotlight results that matter for implementation.
We also thank HZZO and Jelena Curać for presenting the impact of AI4Health.Cro Innovation Challenges and reinforcing the message that healthcare AI must be measured by real-world value, not hype.