Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study

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

arXiv · 2610.09589

Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study

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

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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.

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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. 2026-10-07. Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study. https://arxiv.org/abs/2610.09589

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