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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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Risk color map result of artificial intelligence based real-time analysis microperfusion on the indocyanine green video. A: Indocyanine green (ICG) fluorescence image and ICG curve graph at each position. F_max is the amount of change in ICG fluorescence intensity. T_max is the time it takes for the ICG fluorescence intensity change to become F_max, T_1/2max is the time it takes for the ICG fluorescence intensity change to become F_max/2. Rising slope represents F_max/T_max. TR represents T_1/2max/T_max; B: Risk color map result of artificial intelligence method. Red region means risk-safe, green region means risk-intermediate, and blue region means risk-dangerous. TR: Time ratio; RS: Rising slope; ICG: Indocyanine green; AI: Artificial intelligence.