World Journal of Hepatology - Baishideng Publishing Group

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Cited by in CrossRef

For:	Veerankutty FH, Jayan G, Yadav MK, Manoj KS, Yadav A, Nair SRS, Shabeerali TU, Yeldho V, Sasidharan M, Rather SA. Artificial Intelligence in hepatology, liver surgery and transplantation: Emerging applications and frontiers of research. World J Hepatol 2021; 13(12): 1977-1990 [PMID: 35070002 DOI: 10.4254/wjh.v13.i12.1977]
URL:	https://www.wjgnet.com/1948-5182/full/v13/i12/1977.htm

(192) (196) (0) (0) (0) (9) (5561) (29)

Number	Citing Articles
1	Ankit Shukla, Rajesh Chaudhary, Nishant Nayyar. Role of artificial intelligence in gastrointestinal surgery. Artificial Intelligence in Cancer 2024; 5(2): 97317 doi: 10.35713/aic.v5.i2.97317 Abstract(831) \| Core Tip(835) \| Full Article(HTML)(3543) \| Full Article (PDF)-474K(299) \| Full Article with Cover (PDF)-732K(250) \| Full Article (XML)-180K(211) \| Audio-1815K(68) \| Peer-Review Report-215K(169) \| Answering Reviewers-29K(171) \| Times Cited (1) \| Total Visits (4912) \| Open
2	Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres, Jorge Mateo. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges. World Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834 Abstract(124) \| Core Tip(64) \| Full Article(HTML)(337) \| Full Article (PDF)-1282K(973) \| Full Article with Cover (PDF)-1525K(907) \| Full Article (XML)-621K(38) \| Audio-1495K(11) \| Peer-Review Report-253K(27) \| Answering Reviewers-139K(70) \| Supplementary Material-398K(23) \| Times Cited (1) \| Total Visits (2482) \| Open
3	N. V. Korochanskaya, V. M. Durleshter, M. A. Basenko, D. S. Murashko, A. A. Khalafyan. Artificial Intelligence in Predicting Risks of Surgical Interventions in Patients with Liver Cirrhosis. Russian Journal of Gastroenterology, Hepatology, Coloproctology 2026; 35(6) doi: 10.22416/1382-4376-2025-35-6-42-49
4	Sofia Rozani, Georg Weber, Robert Grützmann. Operatives Management von Riesenhämangiomen im Lobus caudatus: eine Übersicht zu dem intraoperativen Management und der Rolle der künstlichen Intelligenz (KI) bei der Verbesserung der chirurgischen Ergebnisse. Die Chirurgie 2025; 96(11) doi: 10.1007/s00104-025-02361-5
5	Caterina Accardo, Ivan Vella, Duilio Pagano, Fabrizio di Francesco, Sergio Li Petri, Sergio Calamia, Pasquale Bonsignore, Alessandro Tropea, Salvatore Gruttadauria. Donor-recipient matching in adult liver transplantation: Current status and advances. BioScience Trends 2023; 17(3) doi: 10.5582/bst.2023.01076
6	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
7	Hoi Pong Nicholas Wong, Surya Varma Selvakumar, Pei Yi Loh, Jovan Yi Jun Liau, Matthias Yi Quan Liau, Vishalkumar Girishchandra Shelat. Ethical frontiers in liver transplantation. World Journal of Transplantation 2024; 14(4): 96687 doi: 10.5500/wjt.v14.i4.96687 Abstract(729) \| Core Tip(650) \| Full Article(HTML)(3010) \| Full Article (PDF)-1596K(258) \| Full Article with Cover (PDF)-1846K(195) \| Full Article (XML)-167K(156) \| Audio-1228K(33) \| Peer-Review Report-191K(153) \| Answering Reviewers-5K(120) \| Times Cited (4) \| Total Visits (4618) \| Open
8	Fabrizio Urraro, Giulia Pacella, Nicoletta Giordano, Salvatore Spiezia, Giovanni Balestrucci, Corrado Caiazzo, Claudio Russo, Salvatore Cappabianca, Gianluca Costa. Radiomics Beyond Radiology: Literature Review on Prediction of Future Liver Remnant Volume and Function Before Hepatic Surgery. Journal of Clinical Medicine 2025; 14(15) doi: 10.3390/jcm14155326
9	Qing Song, Xuelei He, Yanjie Wang, Hanjing Gao, Li Tan, Jun Ma, Linli Kang, Peng Han, Yukun Luo, Kun Wang. Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-91900-5
10	Alvaro Ducas, Jessica Cassiani, Diego Federico Mendoza Medina, Valentina Valle, Pier Cristoforo Giulianotti. Robotic Liver Resections: Current State-of-the-Art and Future Perspectives. Current Surgery Reports 2025; 13(1) doi: 10.1007/s40137-025-00469-5
11	Anthony Wu, Arghavan Rezvani, Kela Liu, Roozbeh Houshyar, Pooya Khosravi, Whitney Li, Xiaohui Xie. Benchmarking Deep Learning for Future Liver Remnant Segmentation in Colorectal Liver Metastasis. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI) 2026; doi: 10.1109/ISBI61048.2026.11515981
12	Victor Lopez-Lopez, Zeniche Morise, Mariano Albaladejo-González, Concepción Gomez Gavara, Brian K. P. Goh, Ye Xin Koh, Sijberden Jasper Paul, Mohammed Abu Hilal, Kohei Mishima, Jaime Arthur Pirola Krürger, Paulo Herman, Alvaro Cerezuela, Roberto Brusadin, Takashi Kaizu, Juan Lujan, Fernando Rotellar, Kazuteru Monden, Mar Dalmau, Naoto Gotohda, Masashi Kudo, Akishige Kanazawa, Yutaro Kato, Hiroyuki Nitta, Satoshi Amano, Raffaele Dalla Valle, Mario Giuffrida, Masaki Ueno, Yuichiro Otsuka, Daisuke Asano, Minoru Tanabe, Osamu Itano, Takuya Minagawa, Dilmurodjon Eshmuminov, Irene Herrero, Pablo Ramírez, José A. Ruipérez-Valiente, Ricardo Robles-Campos, Go Wakabayashi. Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study. Surgical Endoscopy 2024; 38(5) doi: 10.1007/s00464-024-10681-6
13	Calin Muntean, Vasile Gaborean, Razvan Constantin Vonica, Sebastian Aurelian Stefaniga, Alaviana Monique Faur, Catalin Vladut Ionut Feier. Machine Learning Models for Predicting Post-Hepatectomy Liver Failure: A Systematic Review. AI 2026; 7(5) doi: 10.3390/ai7050166
14	Pieter De Backer, Rania Matthys, Niki Rashidian. Textbook of Robotic Liver Surgery. 2024; doi: 10.1007/978-3-031-76536-0_29
15	Maria Conticchio, Francesca Pescol, Martin Hubner, Emilie Uldry, Grégoire Leroy, Alban Denys, Jean-Louis Raisaro, David Fuks. Artificial intelligence in HPB surgery: a narrative review on technological advances and imperatives for ethical integration. HPB 2026; 28(1) doi: 10.1016/j.hpb.2025.11.002
16	Xue-Qin Zhou, Shu Huang, Xia-Min Shi, Sha Liu, Wei Zhang, Lei Shi, Mu-Han Lv, Xiao-Wei Tang. Global trends in artificial intelligence applications in liver disease over seventeen years. World Journal of Hepatology 2025; 17(3): 101721 doi: 10.4254/wjh.v17.i3.101721 Abstract(456) \| Core Tip(445) \| Full Article(HTML)(1429) \| Full Article (PDF)-32161K(192) \| Full Article with Cover (PDF)-32447K(265) \| Full Article (XML)-146K(118) \| Audio-2018K(14) \| Peer-Review Report-201K(108) \| Answering Reviewers-324K(109) \| Times Cited (2) \| Total Visits (2758) \| Open
17	Valentina Bianchi, Mauro Giambusso, Alessandra De Iacob, Maria Michela Chiarello, Giuseppe Brisinda. Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review. Updates in Surgery 2024; 76(3) doi: 10.1007/s13304-024-01801-x
18	Chol Min Kang, Hyung June Ku, Hyung Hwan Moon, Seong-Eun Kim, Ji Hoon Jo, Young Il Choi, Dong Hoon Shin. Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence. Journal of Clinical Medicine 2024; 13(2) doi: 10.3390/jcm13020381
19	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 Surgery. Medicina 2022; 58(4) doi: 10.3390/medicina58040459
20	Ailton Sepulveda, Riccardo Pravisani. Artificial intelligence and liver transplantation: looking inside the Pandora’s box. Artificial Intelligence Surgery 2024; 4(3) doi: 10.20517/ais.2024.11
21	Jitao Wang, Tianlei Zheng, Yong Liao, Shi Geng, Jinlong Li, Zhanguo Zhang, Dong Shang, Chengyu Liu, Peng Yu, Yifei Huang, Chuan Liu, Yanna Liu, Shanghao Liu, Mingguang Wang, Dengxiang Liu, Hongrui Miao, Shuang Li, Biao Zhang, Anliang Huang, Yewei Zhang, Xiaolong Qi, Shubo Chen. Machine learning prediction model for post- hepatectomy liver failure in hepatocellular carcinoma: A multicenter study. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.986867
22	Rashi Jain, Sathish Kumar Mungamuri, Prabha Garg. Redefining precision medicine in hepatocellular carcinoma through omics, translational, and AI-based innovations. The Journal of Precision Medicine: Health and Disease 2025; 1 doi: 10.1016/j.premed.2025.100003
23	Kuldeep Rajpoot. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review. Current Drug Targets 2025; 26(13) doi: 10.2174/0113894501394785250715165404
24	J. Vijaya, Pankaj Kumar Verma, Rishi Thakur, Shruti Soni, Tripti Sharma, Bhavya Chauhan. Integrative Machine Learning and Optimization Algorithms for Disease Prediction. 2025; doi: 10.4018/979-8-3373-1087-9.ch003
25	Shruti Gairola, Sohan Lal Solanki, Shraddha Patkar, Mahesh Goel. Artificial Intelligence in Perioperative Planning and Management of Liver Resection. Indian Journal of Surgical Oncology 2024; 15(S2) doi: 10.1007/s13193-024-01883-4
26	Sofia Rozani, Vasileios Vougas. Advancements in hepatic haemangioma surgery: An update-review of protocols, techniques, and postoperative outcomes. World Journal of Gastrointestinal Surgery 2026; 18(2): 116957 doi: 10.4240/wjgs.v18.i2.116957 Abstract(69) \| Core Tip(56) \| Full Article(HTML)(215) \| Full Article (PDF)-688K(173) \| Full Article with Cover (PDF)-1039K(137) \| Full Article (XML)-66K(27) \| Audio-1027K(17) \| Peer-Review Report-258K(33) \| Answering Reviewers-81K(30) \| Times Cited (0) \| Total Visits (641) \| Open
27	Rafael Calleja Lozano, César Hervás Martínez, Francisco Javier Briceño Delgado. Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?. Medicina 2022; 58(12) doi: 10.3390/medicina58121743