Results from a Swedish model-based analysis of the cost-effectiveness of AI-assisted digital mammography
Question To evaluate the cost-effectiveness of AI-DM in comparison to conventional biennial breast cDM screening. Findings AI-DM is cost-effective, and the break-even point occurred at the second screening at age 42 years. Clinical relevance The implementation of AI is clearly cost-effective as it reduces the total cost for the healthcare system and simultaneously results in a gain in QALYs.
Authors
- Magnus Husberg (ORCID: https://orcid.org/0000-0002-3057-8933)
- Johan Lyth (ORCID: https://orcid.org/0000-0002-4988-6346)
- Maria Kristoffersen Wiberg (ORCID: https://orcid.org/0000-0001-6577-8217)
- Lars Bernfort (ORCID: https://orcid.org/0000-0003-0537-3319)
- Tomas Bjerner (ORCID: https://orcid.org/0000-0001-9548-4842)
- Håkan Gustafsson (ORCID: https://orcid.org/0000-0001-6148-1053)
- Lars-Åke Levin
- Pantelis Gialias (ORCID: https://orcid.org/0009-0006-2054-8729)
Institutions
- Linköping University (SE)
Publication Details
- Journal
- European Radiology
- Published
- 2025-07-19
- DOI
- https://doi.org/10.1007/s00330-025-11821-9
- Citations
- 3
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 3.14
Funders
- Region Östergötland
- Linköpings Universitet