Comparative Evaluation of Advanced Reasoning Models for Clinical Decision Support in Urology
Modern reasoning models achieve strong accuracy and efficiency on urology-focused benchmark questions, supporting their potential role as useful clinical assistants when implemented with appropriate human oversight. ChatGPT O4-mini's rapid latency further underscores its suitability for time-sensitive workflows, while model-adjusted analyses indicate its consistently superior accuracy relative to experienced urologists within this standardized assessment format.
Authors
- Yangkai Bai
- Xinhong Hu
- Zhanhong Zhang
- Jianfu Wang
- Nan Zheng
- Linhai Shao
- Yang Wang
- Ning He
Publication Details
- Journal
- Urologia Internationalis
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1159/000551610
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00