Comparative performance of ChatGPT-5 and DeepSeek on the Chinese ultrasound medicine senior professional title examination
ChatGPT-5 outperformed DeepSeek on image-based items (61.7% vs. 40.0%), while both models performed similarly on text-based knowledge items (92.5% vs. 90.0%). Overall, both LLMs showed strong performance on Chinese ultrasound senior-title examination questions, with complementary strengths across content areas. They may be useful as supplementary educational tools, but further advances in multimodal reasoning are needed to support more reliable image interpretation.
Authors
- Jie Gao (ORCID: https://orcid.org/0000-0003-0754-1515)
- Dao-Rong Hong
- Chun-Yan Huang
Institutions
- Fujian Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-03-09
- DOI
- https://doi.org/10.3389/fdgth.2026.1783347
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00