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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
A. Spinelli, F. M. Carrano, M. E. Laino, M. Andreozzi, G. Koleth, C. Hassan, A. Repici, M. Chand, V. Savevski, G. Pellino. Artificial intelligence in colorectal surgery: an AI-powered systematic reviewTechniques in Coloproctology 2023; 27(8): 615 doi: 10.1007/s10151-023-02772-8
3
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel ProspectFrontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
4
Christos Tsalikidis, Athanasia Mitsala, Vasileios I. Mentonis, Konstantinos Romanidis, George Pappas-Gogos, Alexandra K. Tsaroucha, Michail Pitiakoudis. Predictive Factors for Anastomotic Leakage Following Colorectal Cancer Surgery: Where Are We and Where Are We Going?Current Oncology 2023; 30(3): 3111 doi: 10.3390/curroncol30030236
5
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
6
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
7
J. Dalli, C.L. Nguyen, A. Jindal, J.P. Epperlein, N.P. Hardy, C. Pulitano, S. Warrier, R.A. Cahill. A feasibility study assessing quantitative indocyanine green angiographic predictors of reconstructive complications following nipple-sparing mastectomyJPRAS Open 2024; 40: 32 doi: 10.1016/j.jpra.2024.01.012
8
Cemil Colak, Zeynep Kucukakcali, Sami Akbulut. Artificial intelligence-based prediction of molecular and genetic markers for hepatitis C–related hepatocellular carcinomaAnnals of Medicine & Surgery 2023; 85(10): 4674 doi: 10.1097/MS9.0000000000001210
9
Jun Watanabe, Ichiro Takemasa, Masanori Kotake, Shingo Noura, Kei Kimura, Hirokazu Suwa, Mitsuyoshi Tei, Yoshinao Takano, Koji Munakata, Shuichiro Matoba, Sigeru Yamagishi, Masayoshi Yasui, Takeshi Kato, Atsushi Ishibe, Manabu Shiozawa, Yoshiyuki Ishii, Taichi Yabuno, Toshikatsu Nitta, Shuji Saito, Yusuke Saigusa, Masahiko Watanabe. Blood Perfusion Assessment by Indocyanine Green Fluorescence Imaging for Minimally Invasive Rectal Cancer Surgery (EssentiAL trial)Annals of Surgery 2023; 278(4): e688 doi: 10.1097/SLA.0000000000005907
10
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
11
Laurentiu Simion, Sinziana Ionescu, Elena Chitoran, Vlad Rotaru, Ciprian Cirimbei, Octavia-Luciana Madge, Alin Codrut Nicolescu, Bogdan Tanase, Irinel-Gabriel Dicu-Andreescu, Denisa Mihaela Dinu, Dan Cristian Luca, Dana Lucia Stanculeanu, Adelina Silvana Gheorghe, Daniela Zob, Marian Marincas. Indocyanine Green (ICG) and Colorectal Surgery: A Literature Review on Qualitative and Quantitative Methods of UsageMedicina 2023; 59(9): 1530 doi: 10.3390/medicina59091530
12
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
13
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
14
Michael Eppler, Aref Sayegh, Marissa Maas, Abhishek Venkat, Sij Hemal, Mihir Desai, Andrew Hung, Teodor Grantcharov, Giovanni Cacciamani, Mitchell Goldenberg. Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-AnalysisJournal of Clinical Medicine 2023; 12(4): 1687 doi: 10.3390/jcm12041687
15
Robin A. Faber, Floris P. Tange, Hidde A. Galema, Thomas C. Zwaan, Fabian A. Holman, Koen C. M. J. Peeters, Pieter J. Tanis, Cornelis Verhoef, Jacobus Burggraaf, J. Sven D. Mieog, Merlijn Hutteman, Stijn Keereweer, Alexander L. Vahrmeijer, Joost R. van der Vorst, Denise E. Hilling. Quantification of indocyanine green near-infrared fluorescence bowel perfusion assessment in colorectal surgerySurgical Endoscopy 2023; 37(9): 6824 doi: 10.1007/s00464-023-10140-8
16
Takahiro Kinoshita, Masaru Komatsu. Artificial Intelligence in Surgery and Its Potential for Gastric CancerJournal of Gastric Cancer 2023; 23(3): 400 doi: 10.5230/jgc.2023.23.e27
17
Gyung Son, Armaan Nazir, Mi Yun, In Lee, Sun Im, Jae Kwak, Sang-Ho Park, Kwang-Ryul Baek, Ines Gockel. The Safe Values of Quantitative Perfusion Parameters of ICG Angiography Based on Tissue Oxygenation of Hyperspectral Imaging for Laparoscopic Colorectal Surgery: A Prospective Observational StudyBiomedicines 2023; 11(7): 2029 doi: 10.3390/biomedicines11072029
18
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
19
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
20
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
21
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
22
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
23
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
24
Alka Yadav, Ashok Kumar. Artificial intelligence in rectal cancer: What is the future?Artificial Intelligence in Cancer 2023; 4(2): 11-22 doi: 10.35713/aic.v4.i2.11
25
Erene Flores-Rodríguez, Lucia Garrido-López, Raquel Sánchez-Santos, Oscar Cano-Valderrama, Laura Rodríguez-Fernández, Manuel Nogueira-Sixto, Marta Paniagua-García Señorans, Vincenzo Vigorita, Enrique Moncada-Iribarren. Is ICG essential in all colorectal surgery? A 3-year experience in a single center: a cohort studyInternational Journal of Colorectal Disease 2023; 38(1) doi: 10.1007/s00384-023-04363-3
26
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
27
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
28
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
29
Mihaela Flavia Avram, Daniela Cornelia Lazăr, Mihaela Ioana Mariş, Sorin Olariu. Artificial intelligence in improving the outcome of surgical treatment in colorectal cancerFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1116761
30
Lukas Pollmann, Mazen Juratli, Nicola Roushansarai, Andreas Pascher, Jens Peter Hölzen. Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant SurgeryJournal of Clinical Medicine 2023; 12(10): 3550 doi: 10.3390/jcm12103550
31
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
32
Victor A. Kashchenko, Alexander V. Lodygin, Konstantin Yu. Krasnoselsky, Valeriy V. Zaytsev, Alexei A. Kamshilin. Intra-abdominal laparoscopic assessment of organs perfusion using imaging photoplethysmographySurgical Endoscopy 2023; 37(11): 8919 doi: 10.1007/s00464-023-10506-y
33
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
34
Pan Huang, Zongfeng Feng, Xufeng Shu, Ahao Wu, Zhonghao Wang, Tengcheng Hu, Yi Cao, Yi Tu, Zhengrong Li. A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002-2022)Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1077539
35
Zoe Garoufalia, Steven D. Wexner. Indocyanine Green Fluorescence Guided Surgery in Colorectal SurgeryJournal of Clinical Medicine 2023; 12(2): 494 doi: 10.3390/jcm12020494
36
Jeffrey Dalli, Johanna J. Joosten, Abhinav Jindal, Niall P. Hardy, John Camilleri-Brennan, Predrag Andrejevic, Roel Hompes, Ronan A. Cahill. Impact of standardising indocyanine green fluorescence angiography technique for visual and quantitative interpretation on interuser variability in colorectal surgerySurgical Endoscopy 2024; 38(3): 1306 doi: 10.1007/s00464-023-10564-2
37
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