This paper is in the following e-collection/theme issue:

Imaging Informatics (305) Clinical Information and Decision Making (1929) Machine Learning (2084) Breast Cancer (292) Decision Support for Health Professionals (1550) Generative Language Models Including ChatGPT (714)

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

Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study

Authors of this article:

Su Miaojiao1 Author Orcid Image ;   Liang Xia1 Author Orcid Image ;   Zeng Xian Tao1 Author Orcid Image ;   Hong Zhi Liang1 Author Orcid Image ;   Cheng Sheng1 Author Orcid Image ;   Wu Songsong1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. 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
  2. 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