| 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] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v26/i44/6945.htm |
| Number | Citing Articles |
| 1 |
Kevin A. Chen, Shah Feroz, Stefan D. Holubar. The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery. Clinics in Colon and Rectal Surgery 2026; 39(03) doi: 10.1055/a-2769-1052
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| 2 |
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 Experience. Journal of Clinical Medicine 2022; 11(2) doi: 10.3390/jcm11020368
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| 3 |
J. R. Gómez-López, A. Balla, E. Licardie, S. Morales-Conde. Prospective analysis of factors influencing the change of the section line based on fluorescence angiography with ICG for colorectal anastomosis. Techniques in Coloproctology 2025; 29(1) doi: 10.1007/s10151-025-03173-9
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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 review. Techniques in Coloproctology 2023; 27(8) doi: 10.1007/s10151-023-02772-8
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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) doi: 10.3390/curroncol30030236
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| 6 |
Tom Pampiglione, Manish Chand. Enhancing colorectal anastomotic safety with indocyanine green fluorescence angiography: An update. Surgical Oncology 2022; 43 doi: 10.1016/j.suronc.2021.101545
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| 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 mastectomy. JPRAS Open 2024; 40 doi: 10.1016/j.jpra.2024.01.012
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| 8 |
Cemil Colak, Zeynep Kucukakcali, Sami Akbulut. Artificial intelligence-based prediction of molecular and genetic markers for hepatitis C–related hepatocellular carcinoma. Annals of Medicine & Surgery 2023; 85(10) doi: 10.1097/MS9.0000000000001210
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| 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) doi: 10.1097/SLA.0000000000005907
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| 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 directions. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
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| 11 |
Xuan Qiu, Victor A. Kashchenko, Timur S. Lankov, Litian Ye, Anatoly A. Zavrazhnov, Valery V. Strizheletsky, Georgy A. Smirnov. Near-infrared indocyanine green fluorescence imaging in preventing anastomotic leakage in colorectal surgery: A systematic review and meta-analysis. Asian Journal of Surgery 2026; doi: 10.1016/j.asjsur.2026.03.115
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| 12 |
Anastasia Sotiropoulou, David Martin, Julien Vionnet, Amaniel Kefleyesus. Unusual cause of small bowel obstruction in a liver transplant recipient: a case report and focused literature review. Frontiers in Surgery 2026; 13 doi: 10.3389/fsurg.2026.1824834
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| 13 |
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 Study. Biomedicines 2023; 11(7) doi: 10.3390/biomedicines11072029
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| 14 |
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 Review. Journal of Clinical Medicine 2022; 11(9) doi: 10.3390/jcm11092431
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| 15 |
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 Directions. Cancers 2022; 14(20) doi: 10.3390/cancers14205143
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| 16 |
Paulina Daniluk-Marsy, Johannes Castelein, Karol Polom, Ronald J.H. Borra. Interpretable and non-linear machine learning models for quantitative ICG perfusion assessment in colorectal cancer anastomosis: A feasibility study. European Journal of Surgical Oncology 2026; 52(7) doi: 10.1016/j.ejso.2026.111911
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| 17 |
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 Learning. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-16030-8
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| 18 |
Francesco Celotto, Giulia Capelli, Stefania Ferrari, Marco Scarpa, Salvatore Pucciarelli, Gaya Spolverato. Application and use of artificial intelligence in colorectal cancer surgery: where are we?. Artificial Intelligence Surgery 2024; 4(4) doi: 10.20517/ais.2024.26
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| 19 |
Miguel Mascarenhas, Francisco Mendes, Filipa Fonseca, Eduardo Carvalho, Andre Santos, Daniela Cavadas, Guilherme Barbosa, Antonio Pinto da Costa, Miguel Martins, Abdullah Bunaiyan, Maísa Vasconcelos, Marley Ribeiro Feitosa, Shay Willoughby, Shakil Ahmed, Muhammad Ahsan Javed, Nilza Ramião, Guilherme Macedo, Manuel Limbert. A Novel Deep Learning Model for Predicting Colorectal Anastomotic Leakage: A Pioneer Multicenter Transatlantic Study. Journal of Clinical Medicine 2025; 14(15) doi: 10.3390/jcm14155462
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| 20 |
Aron F.H.A. Bakker, Tim J.M. Jaspers, Jesse G.J.J. Baan, Maarten J. Duyvesteyn, Jesse van der Duin, Sanne F. Hillebrink, Richard P. Meijer, Peter-Paul M. Willemse, Jelle P. Ruurda, Fons van der Sommen, Willem M. Brinkman. Deep Learning Analysis of Indocyanine Green Fluoroscopy of Ureters in Robotic Cystectomy: Toward Reducing Ureteroenteric Strictures. Journal of Endourology 2026; 40(8) doi: 10.1177/08927790261450709
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| 21 |
Muhammad Uzair Khalid, Simon Laplante, Amin Madani. Machines with vision for intraoperative guidance during gastrointestinal cancer surgery. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1025382
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| 22 |
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
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Boxun Li, Wei Wang. Dynamic Evaluation and System Coordination Degree of the Integration of Artificial Intelligence and Real Economy. Complexity 2021; 2021(1) doi: 10.1155/2021/5539793
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Ahmed Boalot, JihDar Yau, Mahmudul Hasan, Xuanping Wang, Amira Younes, Madeline Hannah, Muneer Junejo. Use of intraoperative ICG fluorescence angiography to reduce anastomotic leak in left‐sided colorectal resections: A systematic review and meta‐analysis of RCTs. Colorectal Disease 2026; 28(2) doi: 10.1111/codi.70378
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| 43 |
Kyung-Ha Lee. Fluorescence-guided surgery in colorectal cancer: current evidence, quantitative advances, and future perspectives. Annals of Coloproctology 2026; 42(1) doi: 10.3393/ac.2025.01438.0205
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Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
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Ronan Ambrose Cahill, Niall Philip Hardy. Digital surgery for gastroenterological diseases. World Journal of Gastroenterology 2021; 27(42): 7240-7246 doi: 10.3748/wjg.v27.i42.7240
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Honghua Su, Tiangui Wang, Chaofan Chen. AI-enabled multi-omics integration in colorectal cancer: from molecular stratification to clinical translation. Frontiers in Cell and Developmental Biology 2026; 14 doi: 10.3389/fcell.2026.1797221
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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 surgery. Surgical Endoscopy 2023; 37(9) doi: 10.1007/s00464-023-10140-8
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| 54 |
Takahiro Kinoshita, Masaru Komatsu. Artificial Intelligence in Surgery and Its Potential for Gastric Cancer. Journal of Gastric Cancer 2023; 23(3) doi: 10.5230/jgc.2023.23.e27
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| 55 |
Anni King, George E Fowler, Rhiannon C Macefield, Hamish Walker, Charlie Thomas, Sheraz Markar, Ethan Higgins, Jane M Blazeby, Natalie S Blencowe. Use of artificial intelligence in the analysis of digital videos of invasive surgical procedures: scoping review. BJS Open 2025; 9(4) doi: 10.1093/bjsopen/zraf073
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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 Perspectives. Cancers 2022; 14(15) doi: 10.3390/cancers14153803
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Rishi Manoj, Assane Fall, Mahamoud Abdoualye Doucouré, Sai Kiran Goud Routhu, Siva Shankara Raju Vysyaraju, Darsana G. Design and Integration of Artificial Intelligence in Laparoscopy for Enhanced Visualisation. 2025 International Conference on Biomedical Engineering and Sustainable Healthcare (ICBMESH) 2025; doi: 10.1109/ICBMESH66209.2025.11182204
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Anastasia Christofi, Thilo Traska, Dimitrios Dimitroulis. Near-infrared indocyanine green angiography in recognizing bowel ischemia in emergency surgery: game changer or overrated?. Innovative Surgical Sciences 2024; 9(3) doi: 10.1515/iss-2024-0013
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Andrew A Gumbs, Gaya Spolverato, Giulia Capelli, Quoc R Bao, Francesco Celotto. Machine learning and deep learning to improve prevention of anastomotic leak after rectal cancer surgery. World Journal of Gastrointestinal Surgery 2025; 17(1): 101772 doi: 10.4240/wjgs.v17.i1.101772
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Paulina Daniluk, Natalia Mazur, Maciej Swierblewski, Manish Chand, Michele Diana, Karol Polom. Fluorescence Imaging in Colorectal Surgery: An Updated Review and Future Trends. Surgical Innovation 2022; 29(4) doi: 10.1177/15533506211072678
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L Borg, M Portelli, L Testa, P Andrejevic. The use of indocyanine green for colorectal anastomoses: a systematic review and meta-analysis. The Annals of The Royal College of Surgeons of England 2025; 107(6) doi: 10.1308/rcsann.2024.0002
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Matthew Abikenari. Artificial Intelligence Across the Surgical Oncology Continuum: Decision Support, Operative Intelligence, and a Translation-First Roadmap. Premier Journal of Science 2026; doi: 10.70389/PJS.100269
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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 study. International Journal of Colorectal Disease 2023; 38(1) doi: 10.1007/s00384-023-04363-3
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Gyung Mo Son, Sang-Ho Park, Nam Su Kim, Mi Sook Yun, In Young Lee, Myeong-Sook Kwon, Tae Kyun Kim, Eun Hwa Lee, Eun Jung Hwang, Kwang-Ryul Baek. Optimal Indocyanine Green Dosage for Repetitive Angiography for Laparoscopic Colorectal Surgery. Medicina 2024; 60(12) doi: 10.3390/medicina60121966
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Onur İnam, Ayman El-Baz, Henry J. Kaplan, Tongalp H. Tezel. Colorimetric Analyses of the Optic Nerve Head and Retina Indicate Increased Blood Flow After Vitrectomy. Translational Vision Science & Technology 2024; 13(7) doi: 10.1167/tvst.13.7.12
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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 surgery. Surgical Endoscopy 2022; 36(2) doi: 10.1007/s00464-021-08918-9
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Masayoshi Iwamoto, Kazuki Ueda, Junichiro Kawamura. A Narrative Review of the Usefulness of Indocyanine Green Fluorescence Angiography for Perfusion Assessment in Colorectal Surgery. Cancers 2022; 14(22) doi: 10.3390/cancers14225623
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Mihaela Flavia Avram, Daniela Cornelia Lazăr, Mihaela Ioana Mariş, Sorin Olariu. Artificial intelligence in improving the outcome of surgical treatment in colorectal cancer. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1116761
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Lukas Pollmann, Mazen Juratli, Nicola Roushansarai, Andreas Pascher, Jens Peter Hölzen. Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery. Journal of Clinical Medicine 2023; 12(10) doi: 10.3390/jcm12103550
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Garrett C. Skinner, Mikael Marois, John Oberlin, Christopher J. McCulloh, Steven D. Schwaitzberg, Peter C. Kim. Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model. Surgical Endoscopy 2024; 38(10) doi: 10.1007/s00464-024-11061-w
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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 surgery. Colorectal Disease 2021; 23(7) doi: 10.1111/codi.15684
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Manu Chaudhary, Vijay Devabhaktuni. Artificial Intelligence in Healthcare: Applications, Benefits, Challenges, and Future Directions. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2026; doi: 10.1109/IATMSI68868.2026.11465943
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Georg Thiele, Annekatrin Pfahl, Hannes Köhler, Matthias Mehdorn, Sigmar Stelzner, Ines Gockel, Andreas Melzer, Boris Jansen-Winkeln. Intraoperative Multimodal Bowel Perfusion Quantification Combining Hyperspectral Imaging and Indocyanine Green. Diagnostics 2026; 16(10) doi: 10.3390/diagnostics16101568
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Niall P Hardy, Jeffrey Dalli, Pól Mac Aonghusa, Peter M Neary, Ronan A Cahill. Biophysics inspired artificial intelligence for colorectal cancer characterization. Artificial Intelligence in Gastroenterology 2021; 2(3): 77-84 doi: 10.35712/aig.v2.i3.77
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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
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Tong Gan. Obtaining and Maintaining Surgical Expertise for the Postgraduate Surgeon and the Impact of Artificial Intelligence in Modern Surgery. Clinics in Colon and Rectal Surgery 2025; doi: 10.1055/s-0045-1813251
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Nuno J G Rama, Inês Sousa. Bridging the gap: The role of technological advances in shaping gastrointestinal oncological outcomes. World Journal of Gastrointestinal Oncology 2025; 17(3): 101752 doi: 10.4251/wjgo.v17.i3.101752
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