Publikation
KiMeKo: A Collaborative AI Platform for Medical Device Development
Serge Autexier; Nihat Ay; Stefan Fischer; Lars Kaderali; Thomas Kirste; Martin Leucker; Christoph Lüth; Thomas Martinetz; Philipp Rostalski; Alexander Schlaefer; Frank Ückert
In: 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE Annual Computers, Software, and Applications Conference (COMPSAC-2026), July 7-10, Madrid, Spain, Pages 1669-1672, IEEE, 2026.
Zusammenfassung
KiMeKo (KI-Med-Kollaborationsplattform) is a publically funded collaborative research project that develops a
sustainable AI-Med ecosystem for AI-based medical device development. The project runs from July 2024 to December 2027
and joins seven Northern German research institutions. KiMeKo
addresses the complete development trajectory, from concept and
data acquisition to validation, regulatory evidence generation,
and approval-oriented documentation. The project contributes a
practical toolchain and platform capabilities for non-experts and
experts, including structured innovation support, uncertainty-aware sensor-data fusion, hybrid expert-system modeling, and
workflow-guided data acquisition and anonymization. This paper
summarizes project objectives, expected outputs, relevance to
IEEE COMPSAC 2026 themes, and current progress. In particular, KiMeKo aligns with Applied AI and Smart & Connected
Health by combining AI engineering, privacy-conscious data
processing, and regulation-aware medical software development.
