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Cited by in CrossRef
For: Bari H, Wadhwani S, Dasari BVM. Role of artificial intelligence in hepatobiliary and pancreatic surgery. World J Gastrointest Surg 2021; 13(1): 7-18 [PMID: 33552391 DOI: 10.4240/wjgs.v13.i1.7]
URL: https://www.wjgnet.com/1948-9366/full/v13/i1/7.htm
Number Citing Articles
1
Rui Chen, Chihua Fang, Jian Yang. ASO Author Reflections: Laparoscopic in situ Anatomical Mesohepatectomy for Solitary Massive HCC Using Combined Intrafascial and Extrafascial Approaches with Indocyanine Green Navigation: A New Era of Digital Intelligent Liver SurgeryAnnals of Surgical Oncology 2022; 29(3): 2041 doi: 10.1245/s10434-021-10950-x
2
Ahmed Kotb, Zaynab Hafeji, Fadel Jesry, Nicole Lintern, Samir Pathak, Andrew M. Smith, Kishan R. D. Lutchman, Daniel M. de Bruin, Rob Hurks, Michal Heger, Yazan S. Khaled. Intra-Operative Tumour Detection and Staging in Pancreatic Cancer Surgery: An Integrative Review of Current Standards and Future DirectionsCancers 2024; 16(22): 3803 doi: 10.3390/cancers16223803
3
Mallika Tewari. Hepato-pancreato-biliary (HPB) Surgery: Pushing the Boundaries with TechnologyIndian Journal of Surgery 2022; 84(S2): 344 doi: 10.1007/s12262-022-03529-7
4
Kenji Okumura, Shekhar Gogna, Mahir Gachabayov, Daniel Moritz Felsenreich, Matthew McGuirk, Aram Rojas, Luis Quintero, Ramanathan Seshadri, Katie Gu, Xiang Da Dong. Gallbladder cancer: Historical treatment and new management optionsWorld Journal of Gastrointestinal Oncology 2021; 13(10): 1317-1335 doi: 10.4251/wjgo.v13.i10.1317
5
Sanjay Kumar, Anghusman Dutta, Manish Gupta, Ran Singh. Enhancing Tonsillectomy Recovery with AI: A Comparative Study on Postoperative Care OutcomesIndian Journal of Otolaryngology and Head & Neck Surgery 2024; 76(6): 5799 doi: 10.1007/s12070-024-05103-x
6
Teresa Perra, Alberto Porcu. Computational Intelligence in Pattern RecognitionLecture Notes in Networks and Systems 2023; 725: 695 doi: 10.1007/978-981-99-3734-9_56
7
Reda H Mithany, Samana Aslam, Shenouda Abdallah, Mark Abdelmaseeh, Farid Gerges, Mohamed S Mohamed, Mina Manasseh, Andrew Wanees, M Hasaan Shahid, Mahmoud Saied Khalil, Nesma Daniel. Advancements and Challenges in the Application of Artificial Intelligence in Surgical Arena: A Literature ReviewCureus 2023;  doi: 10.7759/cureus.47924
8
Jie Huang, Dingwei Xu, Ao Li. ASO Author Reflections: Laparoscopic Resection of the Middle Bile Duct for Cholangiocarcinoma: How We Do It (with Video)Annals of Surgical Oncology 2024; 31(2): 1278 doi: 10.1245/s10434-023-14567-0
9
Ryan Yimeng Lee, Alyssa Imperatore Ziehm, Lauryn Ullrich, Stanislaw P. Stawicki. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1Artificial Intelligence 2023; 19 doi: 10.5772/intechopen.112691
10
D. Schlanger, F. Graur, C. Popa, E. Moiș, N. Al Hajjar. The role of artificial intelligence in pancreatic surgery: a systematic reviewUpdates in Surgery 2022; 74(2): 417 doi: 10.1007/s13304-022-01255-z
11
Vuthea Chheang, Danny Schott, Patrick Saalfeld, Lukas Vradelis, Tobias Huber, Florentine Huettl, Hauke Lang, Bernhard Preim, Christian Hansen. Advanced liver surgery training in collaborative VR environmentsComputers & Graphics 2024; 119: 103879 doi: 10.1016/j.cag.2024.01.006
12
Masood Rashid. Artificial Intelligence in Surgery: Transforming the Future of Operative CareDEVELOPMENTAL MEDICO-LIFE-SCIENCES 2024; 1(3): 1 doi: 10.69750/dmls.01.03.034
13
Faiza Ahmed, Vinay Jahagirdar, Sravya Gudapati, Mohamad Mouchli. Three-dimensional visualization and virtual reality simulation role in hepatic surgery: Further research warrantedWorld Journal of Gastrointestinal Surgery 2022; 14(7): 723-726 doi: 10.4240/wjgs.v14.i7.723
14
Allan Hamilton. The Future of Artificial Intelligence in SurgeryCureus 2024;  doi: 10.7759/cureus.63699
15
Grace C. Bloomfield, Sami Shoucair, Aradhya Nigam, Byoung Uk Park, Thomas M. Fishbein, Pejman Radkani, Emily R. Winslow. The utility of axial imaging among selected patients in the early postoperative period after pancreatectomySurgery 2024; 176(4): 1171 doi: 10.1016/j.surg.2024.06.051
16
Chi Zhang, M. Susan Hallbeck, Hojjat Salehinejad, Cornelius Thiels. The integration of artificial intelligence in robotic surgery: A narrative reviewSurgery 2024; 176(3): 552 doi: 10.1016/j.surg.2024.02.005
17
Akshit Mittal, Aiman Perween Afsar, Anish Tayal, Manu Kumar Shetty. Artificial intelligence and healthcareMAMC Journal of Medical Sciences 2023; 9(2): 81 doi: 10.4103/mamcjms.mamcjms_27_23
18
Yun Wang, Di Cao, Si-Lin Chen, Yu-Mei Li, Yun-Wen Zheng, Nobuhiro Ohkohchi. Current trends in three-dimensional visualization and real-time navigation as well as robot-assisted technologies in hepatobiliary surgeryWorld Journal of Gastrointestinal Surgery 2021; 13(9): 904-922 doi: 10.4240/wjgs.v13.i9.904
19
José Manuel Ramia, Daniel Aparicio-López, José Manuel Asencio-Pascual, Gerardo Blanco-Fernández, Esteban Cugat-Andorrá, Miguel Ángel Gómez-Bravo, Santiago López-Ben, Elena Martín-Pérez, Luis Sabater, Mario Serradilla-Martín. Applicability and reproducibility of the validated intraoperative bleeding severity scale (VIBe scale) in liver surgery: A multicenter studySurgery 2022; 172(4): 1141 doi: 10.1016/j.surg.2022.05.022
20
Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha-Mehlitz. Advancements of Artificial Intelligence in Liver-Associated Diseases and SurgeryMedicina 2022; 58(4): 459 doi: 10.3390/medicina58040459
21
Xiwen Wu, Dehui Wang, Nan Xiang, Mingxin Pan, Fucang Jia, Jian Yang, Chihua Fang. Augmented reality-assisted navigation system contributes to better intraoperative and short-time outcomes of laparoscopic pancreaticoduodenectomy: a retrospective cohort studyInternational Journal of Surgery 2023;  doi: 10.1097/JS9.0000000000000536
22
Vadim Lyuksemburg, Jameil Abou-Hanna, J. Stephen Marshall, Matthew T. Bramlet, Alexa L. Waltz, Sister M. Pieta Keller, Anthony Dwyer, Sonia T. Orcutt. Virtual Reality for Preoperative Planning in Complex Surgical Oncology: A Single-Center ExperienceJournal of Surgical Research 2023; 291: 546 doi: 10.1016/j.jss.2023.07.001