Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
Our study highlights the need for a collaborative approach to implement AI in RT. We designed a strategy to overcome organizational challenges, improve AI integration, and enhance patient care. Workshop feedback indicates the proposed methods are useful for multiple RT centers. Insights gained by applying the methods highlight the importance of multidisciplinary collaboration in the development and implementation of AI.
Authors
- Liesbeth Boersma (ORCID: https://orcid.org/0000-0001-9173-279X)
- Maria Jacobs (ORCID: https://orcid.org/0000-0001-8832-2378)
- Wouter van Elmpt
- Rachelle Swart (ORCID: https://orcid.org/0000-0003-1884-5071)
- Rianne Fijten (ORCID: https://orcid.org/0000-0002-1964-6317)
- Paul Cremers
Institutions
- Tilburg University (NL)
- Maastricht University (NL)
- Maastro Clinic (NL)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1200/cci.24.00101
- Citations
- 9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.08
Funders
- Haaglanden Medisch Centrum
- Radboud Universiteit
- Universitair Medisch Centrum Groningen
- Radboud Universitair Medisch Centrum
- Erasmus Universitair Medisch Centrum Rotterdam