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KiMeKo: a collaborative AI platform for medical device development
Citation Link: https://doi.org/10.15480/882.18310
Publikationstyp
Conference Paper
Date Issued
2026-07
Sprache
English
TORE-DOI
Start Page
1669
End Page
1672
Citation
50th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
ISBN of container
979-833154497-3
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, uncertaintyaware 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.
Subjects
AI in healthcare
collaborative platform
medical device development
regulatory compliance
trustworthy AI
DDC Class
610: Medicine, Health
006: Special computer methods
Publication version
publishedVersion
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Name
KiMeKo_A_Collaborative_AI_Platform_for_Medical_Device_Development.pdf
Type
Main Article
Size
1.14 MB
Format
Adobe PDF