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Cited by in CrossRef
For: Park SH, Park HM, Baek KR, Ahn HM, Lee IY, Son GM. Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery. World J Gastroenterol 2020; 26(44): 6945-6962 [PMID: 33311942 DOI: 10.3748/wjg.v26.i44.6945]
URL: https://www.wjgnet.com/1007-9327/full/v26/i44/6945.htm
Number Citing Articles
1
Niall P Hardy, Jeffrey Dalli, Pól Mac Aonghusa, Peter M Neary, Ronan A Cahill. Biophysics inspired artificial intelligence for colorectal cancer characterizationArtificial Intelligence in Gastroenterology 2021; 2(3): 77-84 doi: 10.35712/aig.v2.i3.77
2
T. Pampiglione, M. Chand. Enhancing colorectal anastomotic safety with indocyanine green fluorescence angiography: An updateSurgical Oncology 2021; : 101545 doi: 10.1016/j.suronc.2021.101545
3
Gyung Mo Son, Hong-min Ahn, In Young Lee, Sun Min Lee, Sang-Ho Park, Kwang-Ryul Baek. Clinical effect and standardization of indocyanine green angiography in the laparoscopic colorectal surgeryJournal of Minimally Invasive Surgery 2021; 24(3): 113 doi: 10.7602/jmis.2021.24.3.113
4
Hong‐min Ahn, Gyung Mo Son, In Young Lee, Sang‐Ho Park, Nam Su Kim, Kwang‐Ryul Baek. Optimization of indocyanine green angiography for colon perfusion during laparoscopic colorectal surgeryColorectal Disease 2021; 23(7): 1848 doi: 10.1111/codi.15684
5
Boxun Li, Wei Wang. Dynamic Evaluation and System Coordination Degree of the Integration of Artificial Intelligence and Real EconomyComplexity 2021; 2021: 1 doi: 10.1155/2021/5539793