How much radiologist time can be saved by implementing AI in screen-reading mammograms?
Question How much radiology time is expected to be saved if AI were used as one of the two readers of screening mammograms? Findings Use of AI as one of the two readers, reducing the screen reading volume by 50%, was of moderate influence on the total workload for breast radiologists. Clinical relevance Implementing AI was shown to have limited potential in saving radiologists' time in screen-reading mammograms. The main benefit of implementing AI in screen-reading might thus be related to increased sensitivity of the screening test.
Authors
- Solveig Hofvind (ORCID: https://orcid.org/0000-0003-0178-8939)
- Tone Hovda (ORCID: https://orcid.org/0000-0001-9786-9455)
- A M Holen
Institutions
- Norwegian Institute of Public Health (NO)
- Vestre Viken Hospital Trust (NO)
- Cancer Registry of Norway (NO)
- UiT The Arctic University of Norway (NO)
Publication Details
- Journal
- European Radiology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1007/s00330-025-12273-x
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norwegian Institute of Public Health