Center for Artificial Intelligence in Healthcare

A center that builds AI infrastructure and a software ecosystem for healthcare to improve access to expert information, support safe clinical decision-making, and systematically develop the use of artificial intelligence in medicine.

Knowledge infrastructure for medicine

CUIZ builds a central digital infrastructure for collecting, structuring, and continuously updating medical knowledge. The goal is to improve access to evidence-based information for clinical practice and reduce the time needed to work with the scientific literature.

Clinical decision support systems

CUIZ develops AI tools that serve as a supportive layer for clinical decision-making. The systems provide clear summaries of relevant information, including references to sources, and help clinicians navigate complex situations without replacing their professional judgement.

Validation and control of AI outputs

Part of CUIZ's work is research and development of methods to verify the reliability, accuracy, and limits of AI systems in healthcare. The focus is on transparency, traceability of sources, and preventing erroneous or misleading outputs.

Safe handling of health data

CUIZ creates the technical and methodological foundation for working with health data in line with current legislation and ethical standards. It focuses on privacy protection, data minimization, and responsible use of sensitive information when developing AI systems.

Education and professional outreach

CUIZ is dedicated to educating healthcare professionals, students, and institutions about the use of artificial intelligence in healthcare. The aim is to strengthen understanding of both the possibilities and limitations of AI and to support its safe and well-informed adoption in practice.

Designed in collaboration with experts.
Built in line with ethical principles.

Focused on long-term benefit for healthcare. CUIZ develops an open infrastructure that aims to connect scientific knowledge, clinical practice, and artificial intelligence in a way that is transparent, auditable, and socially responsible.

Readiness framework for responsible AI in healthcare

CUIZ develops a value and methodological framework that describes the key prerequisites for safe, ethical and meaningful use of artificial intelligence in healthcare. The framework is not a scoring tool but a way to systematically name the areas that need to be in balance so that AI adoption does not create hidden risks.

Key areas of the framework

Data and IT infrastructure
Availability, quality and protection of health data, their interoperability and technical readiness for AI tools in line with security standards.
Regulation and legal responsibility
Compliance with applicable legislation (GDPR, MDR, national regulation), and clearly defined responsibility and role of AI in clinical decision‑making.
Clinical processes
Real integration of AI into day‑to‑day clinical work without disrupting workflows and without adding unnecessary administrative burden.
Education and professional competence
The level of understanding among healthcare professionals of AI capabilities, limits and risks, including working with uncertainty and model biases.
Ethics and governance
Institutional mechanisms for overseeing the use of AI, decision‑making processes, ethics committees and ways of handling contentious situations.
Patient and public trust
How patients are informed about the use of AI and how transparent the organization is towards the public.

How CUIZ uses the framework

  • The framework serves as a shared reference point for public institutions, healthcare providers, research teams and policy makers.
  • CUIZ uses it to design research and pilot projects and to formulate methodologies and recommendations.
  • It supports strategic planning in the public sector and the preparation of inputs for national and European funding programs.
  • It functions as a tool for expert discussion, education and outreach on AI adoption in healthcare.
  • It helps identify areas where AI is ready to be developed and areas where rules, understanding or infrastructure must first be strengthened.

Benefits

  • Better orientation of institutions in the complex topic of AI in healthcare.
  • Reduced systemic risks when introducing new technologies.
  • Strengthened trust of healthcare professionals, patients and the public in the responsible use of AI.
  • Long‑term, sustainable development of AI in healthcare in the public interest.

Frequently asked questions

CUIZ's mission is to support the safe, ethical and evidence‑based use of artificial intelligence in healthcare. The center builds an independent technological and knowledge infrastructure that connects scientific findings, clinical practice and modern digital tools in the public interest.
No. CUIZ is not a diagnostic tool and does not replace the clinical decision‑making of healthcare professionals. All outputs are supportive and informational in nature and help users navigate scientific sources and recommendations. Clinical responsibility always remains with the treating clinician.
CUIZ is designed to minimise the handling of sensitive data. By default, it does not work with personal or directly identifiable patient data. All activities are carried out in line with GDPR, privacy‑by‑design principles and information security requirements.
Ethical considerations are an integral part of all CUIZ activities. The center emphasises algorithmic transparency, traceability of sources, reduction of biases and clear allocation of responsibilities. Tool development follows principles of evidence‑based medicine and the European regulatory framework.
CUIZ helps healthcare providers and the public sector to introduce AI in an informed and responsible way – reducing risks, strengthening professional trust and improving access to high‑quality information. In the long term, it contributes to the stability and sustainability of the health system.