Copyright: ©Author(s) 2027.
World J Gastroenterol. Jan 7, 2027; 33(1): 122422
Published online Jan 7, 2027. doi: 10.3748/wjg.122422
Published online Jan 7, 2027. doi: 10.3748/wjg.122422
Figure 3 Model calibration curves.
The dotted line (apparent) represents the performance of the retrieval-augmented generation-enhanced large language models, whereas the solid line (bias-corrected) accounts for and adjusts potential biases. The diagonal reference line (ideal) indicates perfect calibration, where the predictions match the observed outcomes exactly. GLM: Generalized linear mixed.
- Citation: Zhuang Q, Cheng JN, Zheng YL, Wu S, Chu YM, Zhou L, Xia J, Ning M, Peng HX, Wan XJ, Dong ZX. Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation. World J Gastroenterol 2027; 33(1): 122422
- URL: https://www.wjgnet.com/1007-9327/full/v33/i1/122422.htm
- DOI: https://dx.doi.org/10.3748/wjg.122422