The landscape of artificial intelligence-enabled medical devices in the EU and the US intended for intensive care units
Artificial intelligence (AI) is increasingly used in healthcare, yet translation into routine intensive care units (ICU) practice remains slow. Through a multimethod search, we identified 36 on-market ICU-specific AI-enabled medical devices in the US and EU, challenging previous research findings. Most devices focus on prediction. However, as availability does not equal proven benefit, adoption will depend less on the availability of additional models and more on addressing persistent implementation barriers.
Authors
- Stephan Buch (ORCID: https://orcid.org/0000-0003-2928-015X)
- Max Ostermann (ORCID: https://orcid.org/0009-0004-7808-2701)
- Sven Zenker (ORCID: https://orcid.org/0000-0003-0774-0725)
- Oscar Freyer (ORCID: https://orcid.org/0000-0003-3323-2492)
- Anett Schönfelder (ORCID: https://orcid.org/0009-0007-7064-1611)
- Adel Bassily-Marcus
- Brian W. Pickering
Institutions
- Mayo Clinic (US)
- Zimmer Biomet (Netherlands) (NL)
- University Hospital Bonn (DE)
- Institut für Medizinische Biometrie, Informatik und Epidemiologie (DE)
- Fresenius (Germany) (DE)
- Yale New Haven Health System (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2026-04-10
- DOI
- https://doi.org/10.1038/s41746-026-02609-2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Bundesministerium für Bildung und Forschung
- HORIZON EUROPE Framework Programme