Preliminary experiments on interpretable ChatGPT-assisted diagnosis for breast ultrasound radiologists
The ChatGPT-3.5 model holds potential as a valuable tool for assisting in the efficient determination of BI-RADS classifications and enhancing diagnostic performance.
Authors
- Linxue Qian
- Zhixiang Wang (ORCID: https://orcid.org/0000-0002-4778-7539)
- Pengfei Sun (ORCID: https://orcid.org/0000-0002-4844-6832)
Institutions
- Capital Medical University (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21037/qims-24-141
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60