Comparing a Top-Down and a Bottom-Up Approach for Implementing AI in Radiology Practice
This paper examines how two health regions in Norway adopted different strategies for implementing commercial AI algorithms to outline. One region employs a top-down, research-driven approach, while the other takes a bottom-up, innovation-focused approach. The main takeaway is that there is more than one approach to conduct such implementation, and that both strategies generate important knowledge useful to reuse in other healthcare settings.
Authors
- Gunnar Ellingsen (ORCID: https://orcid.org/0000-0002-6122-4003)
- Gro-Hilde Severinsen (ORCID: https://orcid.org/0000-0002-3363-9009)
- Rune Pedersen (ORCID: https://orcid.org/0000-0001-9032-4153)
- Line Silsand (ORCID: https://orcid.org/0000-0003-0971-773X)
- Mari Serine Kannelønning (ORCID: https://orcid.org/0009-0004-4499-1720)
Institutions
- Nord University (NO)
- Centre for Arctic Gas Hydrate, Environment and Climate (NO)
- Metropolitan University (BD)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250368
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.89