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. 2020 Nov 28;26(44):6945–6962. doi: 10.3748/wjg.v26.i44.6945

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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.

This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

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Comparison on the receiver operating characteristic curves of artificial intelligence-based methods and conventional parameters determines the anastomotic complication risk by hypoperfusion. Artificial intelligence (AI) represents the AI-based method. T_1/2max is the time it takes for the indocyanine green fluorescence intensity change to become F_max/2. Rising slope represents F_max/T_max. Time ratio represents T_1/2max/T_max. Area under the curve stands for area under the curve. Statistically significant expresses as P value of less than 0.05. TR: Time ratio; RS: Rising slope; AI: Artificial intelligence; SE: Standard error; CI: Confidence interval; AUC: Area under the curve.