GPT4LFS (generative pretrained transformer 4 omni for lumbar foramina stenosis): enhancing lumbar foraminal stenosis image classification through large multimodal models
Using the GPT4LFS model for LFS image categorization demonstrated accuracy and the capacity for feature description at a level commensurate with that of professional clinicians.
Authors
- Jintao Yang (ORCID: https://orcid.org/0000-0003-4713-4893)
- Fanshuo Zeng (ORCID: https://orcid.org/0000-0003-3649-579X)
- Hai Zhong (ORCID: https://orcid.org/0000-0001-7530-6862)
- Jun Shang
- Shiqing Feng
- Elzat Elham-Yilizati Yilihamu
Institutions
- Shandong University (CN)
- Xuzhou Medical College (CN)
- Second Hospital of Shandong University (CN)
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Journal
- The Spine Journal
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1016/j.spinee.2025.03.011
- Citations
- 3
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Natural Science Foundation of Shandong Province