Can ChatGPT pass the urology fellowship examination? Artificial intelligence capability in surgical training assessment
Overall, ChatGPT did not perform as well as human trainees in the Australian Urology fellowship written examination. Examiners were able to identify AI-generated answers with a high degree of accuracy.
Authors
- Kathleen Lockhart (ORCID: https://orcid.org/0000-0003-1426-9599)
- Brayden March (ORCID: https://orcid.org/0000-0002-1195-1966)
- Amanda Chung (ORCID: https://orcid.org/0000-0002-0111-4961)
- Alice Grant
- Ashan Canagasingham (ORCID: https://orcid.org/0000-0003-0307-7743)
- Darius Ashrafi (ORCID: https://orcid.org/0000-0001-6466-5536)
- Dane Cole‐Clark (ORCID: https://orcid.org/0000-0002-7849-0383)
- Wenjie Zhong
Institutions
- Royal North Shore Hospital (AU)
- Concord Repatriation General Hospital (AU)
- Gosford Hospital (AU)
- Wollongong Hospital (AU)
- Canberra Hospital (AU)
- ACT Government (AU)
Publication Details
- Journal
- British Journal of Urology
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1111/bju.16806
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31