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. 2024 Nov 7;12(11):E1277–E1284. doi: 10.1055/a-2422-9214

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The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.

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Fig. 3 — Receiver operating characteristic curves for the M-F-RCNN model, experts, novices, and model-assisted. a The model outperforms both novices and experts in terms of sensitivity, specificity, accuracy, and efficiency. b With the assistance of the M-F-RCNN model, the area under the curve (AUC), sensitivity, specificity, and accuracy of experts and novices were significantly improved, while minimizing the gaps among the physicians.