Reply: evaluating text and visual diagnostic capabilities of large language models on questions related to the Breast Imaging Reporting and Data System (BI-RADS) Atlas 5th edition
Reply: evaluating text and visual diagnostic capabilities of large language models on questions related to the Breast Imaging Reporting and Data System (BI-RADS) Atlas 5th edition - Diagnostic and Interventional Radiology
Authors
- Turay Cesur (ORCID: https://orcid.org/0000-0002-2726-8045)
- Yasin Celal Güneş (ORCID: https://orcid.org/0000-0001-7631-854X)
- Leman Günbey Karabekmez (ORCID: https://orcid.org/0000-0001-9862-0192)
- Eren Çamur (ORCID: https://orcid.org/0000-0002-8774-5800)
Institutions
- Ankara University (TR)
- State Hospital (GB)
- Türkiye Yüksek İhtisas Hastanesi (TR)
- Memorial Ankara Hospital (TR)
- Başkent University Hospital (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.4274/dir.2025.253360
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96