How do medical institutions co-create artificial intelligence solutions with commercial startups?
Question How can medical institutions and AI startups effectively co-create AI solutions for radiology, ensuring alignment with clinical needs while steering collaboration effectively? Findings This study provides a co-creation framework allowing assessment of project progress, stakeholder engagement, as well as guidelines for radiology departments to steer co-creation of AI. Clinical relevance By actively involving radiology professionals in AI co-creation, this study demonstrates how co-creation helps bridge the gap between clinical needs and AI development, leading to clinically relevant, user-friendly solutions that enhance the radiology workflow.
Authors
- Mohammad Hosein Rezazade Mehrizi (ORCID: https://orcid.org/0000-0003-0068-2446)
- Willem Grootjans (ORCID: https://orcid.org/0000-0003-4851-7167)
- Uliana Krainska
Institutions
- Leiden University Medical Center (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- European Radiology
- Published
- 2025-06-03
- DOI
- https://doi.org/10.1007/s00330-025-11672-4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00