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

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
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article

Comparative Evaluation of Advanced Reasoning Models for Clinical Decision Support in Urology

Yangkai Bai, Xinhong Hu, Zhanhong Zhang, Jianfu Wang et al.
Urologia Internationalis
Artificial Intelligence in Healthcare and Education
article

Comparative Evaluation of Advanced Reasoning Models for Clinical Decision Support in Urology

Yangkai Bai, Xinhong Hu, Zhanhong Zhang, Jianfu Wang, Nan Zheng, Linhai Shao, Yang Wang, Ning He
article en

Abstract

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.

Urologia Internationalis
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Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
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