arXiv cs.CY· Lin Wu, Zhe Xu, Hongyi Wang, Feifei Zhou, Wei Deng, Chunlong Zhang, Yuting Zhu, Kaixiao Chen, Xiao Liang, Chen Yang, Yeyuan Chen, Hao Chen, Fuqing Zhou·· 10 天前AI 评分32
GPT-5.4 单建议 vs 双建议 AI 辅助：住院医师影像判读随机多读者研究
Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study
AI 导读
一项在中国三家医院开展的随机三臂研究显示，132 名临床经验不足 3 年的住院医师被随机分为 GPT-5.4 单独支持、GPT-5.4 加 Kimi-K2.6、GPT-5.4 加 Gemini-3.6 Flash 三组，判读 60 张 X 光片。
正文 · 原文
Authors:Lin Wu, Zhe Xu, Hongyi Wang, Feifei Zhou, Wei Deng, Chunlong Zhang, Yuting Zhu, Kaixiao Chen, Xiao Liang, Chen Yang, Yeyuan Chen, Hao Chen, Fuqing Zhou
Abstract:Purpose: To compare dual- and single-suggestion AI support for radiographic interpretation by residents, particularly when the shared AI suggestion was incorrect.
Materials and Methods: This prospective, multicenter, randomized three-arm reader study was conducted at three hospitals in China from July to September 2026 (ChiCTR2600129243). After specialty stratification, 132 residents with fewer than 3 years of clinical experience were randomized 1:1:1 to GPT-5.4 alone (group A), GPT-5.4 plus Kimi-K2.6 (group B), or GPT-5.4 plus Gemini-3.6 Flash (group C); 123 were analyzed. Participants interpreted 60 radiographs before and after AI support. The primary outcome was accuracy change. Welch ANOVA and Holm-adjusted t tests compared support conditions; HC3 linear models assessed specialty interaction.
Results: Among 123 residents (mean age, 24.1 years +/- 1.4; 65 women), radiology residents showed greater accuracy improvement with dual- than single-suggestion support (B-A, 6.69 percentage points [95% CI, 0.97-12.40]; C-A, 7.87 percentage points [95% CI, 1.64-14.11]; Holm-adjusted P = .030 for both), whereas accuracy change did not differ in non-radiology residents (P = .20). When GPT-5.4 was incorrect, AI-assisted accuracy was higher with dual- than single-suggestion support in radiology residents (40.1% and 40.4% vs 20.0%) and non-radiology residents (31.3% and 31.0% vs 12.1%) (all Holm-adjusted P < .001). The dual-suggestion effect differed by specialty (interaction difference, 10.44 percentage points; 95% CI, 4.36-16.52; P < .001).
Conclusion: Dual-suggestion support may mitigate the influence of erroneous AI suggestions, with greater accuracy improvement observed in radiology but not non-radiology residents.
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.09589 [cs.AI] |
| (or arXiv:2610.09589v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.09589 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Zhe Xu [view email]
[v1]
Wed, 7 Oct 2026 07:33:23 UTC (6,620 KB)
来源：arXiv cs.CY · arxiv.org