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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
Wojciech Polom, Marcin Migaczewski, Jaroslaw Skokowski, Maciej Swierblewski, Tomasz Cwalinski, Leszek Kalinowski, Michal Pedziwiatr, Marcin Matuszewski, Karol Polom. Multispectral Imaging Using Fluorescent Properties of Indocyanine Green and Methylene Blue in Colorectal Surgery—Initial ExperienceJournal of Clinical Medicine 2022; 11(2): 368 doi: 10.3390/jcm11020368
2
Juan-Carlos Gomez-Rosado, Javier Valdes-Hernandez, Juan Cintas-Catena, Auxiliadora Cano-Matias, Asuncion Perez-Sanchez, Francisco-Javier del Rio-Lafuente, Cristina Torres-Arcos, Yaiza Lara-Fernandez, Luis-Cristobal Capitan-Morales, Fernando Oliva-Mompean. Feasibility of quantitative analysis of colonic perfusion using indocyanine green to prevent anastomotic leak in colorectal surgerySurgical Endoscopy 2022; 36(2): 1688 doi: 10.1007/s00464-021-08918-9
3
Tom Pampiglione, Manish Chand. Enhancing colorectal anastomotic safety with indocyanine green fluorescence angiography: An updateSurgical Oncology 2022; 43: 101545 doi: 10.1016/j.suronc.2021.101545
4
Niall Philip Hardy, Ronan Ambrose Cahill. Digital surgery for gastroenterological diseasesWorld Journal of Gastroenterology 2021; 27(42): 7240-7246 doi: 10.3748/wjg.v27.i42.7240
5
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
6
Masayoshi Iwamoto, Kazuki Ueda, Junichiro Kawamura. A Narrative Review of the Usefulness of Indocyanine Green Fluorescence Angiography for Perfusion Assessment in Colorectal SurgeryCancers 2022; 14(22): 5623 doi: 10.3390/cancers14225623
7
Maged Abdalla Helmy Abdou, Tuyen Trung Truong, Anastasiya Dykyy, Paulo Ferreira, Eric Jul. CapillaryNet: An automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopyArtificial Intelligence in Medicine 2022; 127: 102287 doi: 10.1016/j.artmed.2022.102287
8
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
9
Seiichi Shinji, Takeshi Yamada, Akihisa Matsuda, Hiromichi Sonoda, Ryo Ohta, Takuma Iwai, Koki Takeda, Kazuhide Yonaga, Yuka Masuda, Hiroshi Yoshida. Recent Advances in the Treatment of Colorectal Cancer: A ReviewJournal of Nippon Medical School 2022; 89(3): 246 doi: 10.1272/jnms.JNMS.2022_89-310
10
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
11
Stephanie Taha-Mehlitz, Silvio Däster, Laura Bach, Vincent Ochs, Markus von Flüe, Daniel Steinemann, Anas Taha. Modern Machine Learning Practices in Colorectal Surgery: A Scoping ReviewJournal of Clinical Medicine 2022; 11(9): 2431 doi: 10.3390/jcm11092431
12
Yiqun Liao, Jiahao Zhao, Yuji Chen, Bin Zhao, Yongkun Fang, Fei Wang, Chen Wei, Yichao Ma, Hao Ji, Daorong Wang, Dong Tang. Mapping Lymph Node during Indocyanine Green Fluorescence-Imaging Guided Gastric Oncologic Surgery: Current Applications and Future DirectionsCancers 2022; 14(20): 5143 doi: 10.3390/cancers14205143
13
Giuseppe Quero, Pietro Mascagni, Fiona R. Kolbinger, Claudio Fiorillo, Davide De Sio, Fabio Longo, Carlo Alberto Schena, Vito Laterza, Fausto Rosa, Roberta Menghi, Valerio Papa, Vincenzo Tondolo, Caterina Cina, Marius Distler, Juergen Weitz, Stefanie Speidel, Nicolas Padoy, Sergio Alfieri. Artificial Intelligence in Colorectal Cancer Surgery: Present and Future PerspectivesCancers 2022; 14(15): 3803 doi: 10.3390/cancers14153803
14
Pasquale Arpaia, Umberto Bracale, Francesco Corcione, Egidio De Benedetto, Alessandro Di Bernardo, Vincenzo Di Capua, Luigi Duraccio, Roberto Peltrini, Roberto Prevete. Assessment of blood perfusion quality in laparoscopic colorectal surgery by means of Machine LearningScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-16030-8
15
Paulina Daniluk, Natalia Mazur, Maciej Swierblewski, Manish Chand, Michele Diana, Karol Polom. Fluorescence Imaging in Colorectal Surgery: An Updated Review and Future TrendsSurgical Innovation 2022; 29(4): 479 doi: 10.1177/15533506211072678
16
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
17
Muhammad Uzair Khalid, Simon Laplante, Amin Madani. Machines with vision for intraoperative guidance during gastrointestinal cancer surgeryFrontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1025382