Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study
Integrating ChatGPT-4 into an image-to-text-LLM workflow improves BI-RADS classification accuracy and supports radiologists in breast ultrasound diagnostics. These results demonstrate its potential as a decision-support tool to enhance diagnostic consistency and reduce variability.
Authors
- Sheng Cheng (ORCID: https://orcid.org/0000-0002-4761-6203)
- Zong-Yuan Tao (ORCID: https://orcid.org/0009-0000-7875-7079)
- Zhiliang Hong (ORCID: https://orcid.org/0000-0001-8995-9995)
- Xia Liang
- Songsong Wu
- Su Miaojiao (ORCID: https://orcid.org/0009-0000-5251-1003)
Institutions
- Fujian Provincial Hospital (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-04-20
- DOI
- https://doi.org/10.2196/70924
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44