Evaluating multimodal ChatGPT for emergency decision-making of ocular trauma cases
This study demonstrates ChatGPT has the potential to help emergency physicians assess and triage ocular trauma patients properly and timely. However, its ability in clinical image understanding needs to be further improved.
Authors
- Yue Wu (ORCID: https://orcid.org/0000-0002-3121-5405)
- Z. Shen (ORCID: https://orcid.org/0000-0002-6333-3633)
- Yi Shao (ORCID: https://orcid.org/0000-0003-1571-2433)
- Hui Cynthia Zhou (ORCID: https://orcid.org/0000-0002-6491-7745)
- Xue Jiang (ORCID: https://orcid.org/0000-0001-7441-0828)
- Nuo Chen (ORCID: https://orcid.org/0009-0000-2895-746X)
- Zhouqian Wang
- Zhongwen Li (ORCID: https://orcid.org/0000-0001-9759-7461)
Institutions
- Shanghai Jiao Tong University (CN)
- Wenzhou Medical University (CN)
- Affiliated Eye Hospital of Wenzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/fcell.2025.1564054
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65