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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

Year: 2025

Type: letter

Abstract: 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

Source: Diagnostic and Interventional Radiology

DOI: 10.4274/dir.2025.253360

Authors: Yasin Celal Güneş, Turay Cesur, Eren Çamur, Leman Günbey Karabekmez

Institutions: Ministry of Health, Ankara 29 Mayis State Hospital, Ankara Yıldırım Beyazıt University, Ankara Bilkent City Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4410517115

Cites:

Cited by: 4

Related to: 10