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, cilt.32, sa.1, ss.25-26, 2026 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Kısa Makale
- Cilt numarası: 32 Sayı: 1
- Basım Tarihi: 2026
- Doi Numarası: 10.4274/dir.2025.253360
- Dergi Adı: Diagnostic and Interventional Radiology
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE, Directory of Open Access Journals, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.25-26
- Anahtar Kelimeler: BI-RADS, breast radiology, ChatGPT, large language models, retrieval-augmented generation
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet