Published on in Vol 13 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/70924, first published
.
Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study
Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study
Journals
- Tekcan Sanli D, Sanli A, Ozmen G, Ozmen A, Cihan I, Kurt A, Esmerer E. Interpreting BI-RADS-Free Breast MRI Reports Using a Large Language Model: Automated BI-RADS Classification From Narrative Reports Using ChatGPT. Academic Radiology 2025;32(12):7108 View
- Erkal D, Tonkaz M, Bekci T, Tonkaz G. Comparative Evaluation of BI-RADS Classification, Clinical Management, and Diagnostic Performance in Breast Ultrasound Reports Using ChatGPT-4o and DeepSeek-V3. Seminars in Ultrasound, CT and MRI 2025 View
- Dai X, Ke M, Xie D, Mei M, Wei S, Dai Y, Yan R. Performance of ChatGPT-4o, Claude 3 Opus, and DeepSeek-R1 in BI-RADS Category 4 Classification and Malignancy Prediction From Mammography Reports: Retrospective Diagnostic Study. JMIR Medical Informatics 2025;13:e80182 View
- Carrilero-Mardones M, Pérez-Martín J, Díez F, Bermejo Delgado I. Extracting structured data from unstructured breast imaging reports with transformer-based models. Frontiers in Digital Health 2026;7 View