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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.

Abstract

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.

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