Open AccessArtificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery
Author(s) -
Sang-Ho Park,
Heemin Park,
Kwang-Ryul Baek,
Hong-min Ahn,
In Young Lee,
Gyung Mo Son
Publication year - 2020
Publication title -
world journal of gastroenterology
Language(s) - Danish
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v26.i44.6945
Subject(s) - medicine , laparoscopy , microcirculation , colonoscopy , surgery , general surgery , colorectal cancer , cancer
Colonic perfusion status can be assessed easily by indocyanine green (ICG) angiography to predict ischemia related anastomotic complications during laparoscopic colorectal surgery. Recently, various parameter-based perfusion analysis have been studied for quantitative evaluation, but the analysis results differ depending on the use of quantitative parameters due to differences in vascular anatomical structure. Therefore, it can help improve the accuracy and consistency by artificial intelligence (AI) based real-time analysis microperfusion (AIRAM).