NeoVitAI

Project structure and work packages
NeoVitAI's work is organised into seven work packages, together covering the full trajectory from coordination and communication to the practical testing of AI in hospitals.

WP1: Projectmanagement - UMCG

UMCG leads the day-to-day coordination of NeoVitAI. As lead partner, UMCG monitors progress, manages the project finances and makes sure that every project partner reaches its milestones on time. Project partners come together regularly, both online and in person, and an advisory board of associated project partners helps strengthen the direction and impact of the project.

WP 2: PR & communication (Evidencio)

All project partners help spread the results of NeoVitAI to the right audiences, on both sides of the border. This happens through publications, conferences, workshops, network events and social media, supported by a shared promotion plan and a project page that keeps everyone informed.

WP3: AI implementation handbook (Evidencio)

The knowledge and practical experience gained through NeoVitAI will be consolidated into a clear AI implementation handbook, available in Dutch, German, and English. The handbook will include dedicated modules for hospitals, startups and companies, and patients and families, and will be developed with direct input from stakeholders through workshops and structured feedback sessions.

WP4: Regulatory guidelines (KIZMO)

Successful use of AI in neonatal care depends on trust and on meeting legal requirements. This work package makes regulation, such as the MDR, GDPR and the EU AI Act, easier to navigate for hospitals, and supports the certification process for AI solutions in healthcare.

WP5: Hardware, video technology & AI at the test locations (Neolook Solutions)

Neolook installs the Neolook ONE and the accompanying technology at the test locations, working closely with hospital IT departments to fit local systems and protocols. Care professionals are trained to use the technology safely and effectively, making this the first real step of AI moving into everyday hospital care.

WP6: Pre-clinical testing & data collection (University Oldenburg)

Before AI systems are used with real patients, they are tested in a controlled setting. Under the lead of Universität Oldenburg, and with sensors provided by Applied Biosignals, the systems are tested on a robot baby that simulates vital signs and movement, so that the AI models can be validated and refined.

WP7: Clinical testing: movement, biosignals and (optical) data processing (UMCG)

In the final testing phase, the AI systems are used in a real clinical setting. This phase develops AI models for detecting stress and pain in premature babies,and gives insight into how care professionals work with AI in daily practice, experience that feeds directly into the AI implementation handbook.