Artificial Intelligence Language Models to Translate Professional Radiology Mammography Reports Into Plain Language – Impact on Interpretability and Perception by Patients
Patient preference differed among AI-translated radiology reports. Compared to a traditional report using radiological language, AI-translated reports add value for patients, enhance comprehensibility and empathy and therefore hold the potential to improve patient communication in breast imaging.
Authors
- Jakob Heimer (ORCID: https://orcid.org/0000-0003-3499-8801)
- R. Huch (ORCID: https://orcid.org/0000-0002-3636-8697)
- Marc Kissling
- André Euler (ORCID: https://orcid.org/0000-0001-5019-4585)
- Cornelia Leo (ORCID: https://orcid.org/0000-0003-1601-0281)
- M Farkas (ORCID: https://orcid.org/0009-0004-5136-9171)
- Dusan Pisarcik
Institutions
- Kantonsspital Baden (CH)
Publication Details
- Journal
- Academic Radiology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.acra.2025.05.065
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31