Can artificial intelligence read between the lines: Utilizing ChatGPT to evaluate medical students’ implicit attitudes towards doctor–patient relationship
Large language models (LLMs) demonstrated high consistency with human experts in judging implicit attitudes. Future research should optimize LLMs and replicate this framework across diverse contexts with larger samples.
Authors
- Wei Zhai (ORCID: https://orcid.org/0000-0003-4064-0427)
- Wenqi Geng (ORCID: https://orcid.org/0000-0002-9774-0413)
- Ya Fang Jiang (ORCID: https://orcid.org/0000-0003-4858-5928)
- Qing Zhao (ORCID: https://orcid.org/0000-0001-9570-9546)
- Jianqiang Li (ORCID: https://orcid.org/0000-0003-1995-9249)
- Xiaohui Zhao (ORCID: https://orcid.org/0000-0003-2691-9835)
- Lili Shi (ORCID: https://orcid.org/0000-0003-4021-8373)
- Jinya Cao (ORCID: https://orcid.org/0000-0002-4318-2380)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Beijing University of Technology (CN)
Publication Details
- Journal
- Medical Teacher
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1080/0142159x.2025.2515971
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Peking Union Medical College Hospital