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For: Han IW, Cho K, Ryu Y, Shin SH, Heo JS, Choi DW, Chung MJ, Kwon OC, Cho BH. Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence. World J Gastroenterol 2020; 26(30): 4453-4464 [PMID: 32874057 DOI: 10.3748/wjg.v26.i30.4453]
URL: https://www.wjgnet.com/1007-9327/full/v26/i30/4453.htm
Number Citing Articles
1
Martina Nebbia, Giovanni Capretti, Gennaro Nappo, Alessandro Zerbi. Updates in the management of postoperative pancreatic fistulaInternational Journal of Surgery 2024; 110(10) doi: 10.1097/JS9.0000000000001395
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Jiaying You, Jing Zhang, He Cai, Hongjian Wang, Jingchen Xi, Dongjin Mu, Ziyi Li, Qiangxing Chen, Bing Peng, Yunqiang Cai. High risk of bias and significant heterogeneity in multivariable prediction models for pancreatic fistula following pancreatoduodenectomy: A systematic review, critical appraisal, and meta-analysisCurrent Problems in Surgery 2025; 69 doi: 10.1016/j.cpsurg.2025.101821
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伟 王. Application and Prospect of Early Diagnosis of Pancreatic Tumors Based on Artificial Intelligence TechnologyMedical Diagnosis 2025; 15(06) doi: 10.12677/md.2025.156074
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Chie Takasu, Masaaki Nishi, Kozo Yoshikawa, Takuya Tokunaga, Hideya Kashihara, Yuma Wada, Toshiaki Yoshimoto, Mitsuo Shimada. Preoperative evaluation to determine the difficulty of No. 6 lymphadenectomy in laparoscopic gastrectomyBMC Surgery 2024; 24(1) doi: 10.1186/s12893-024-02349-8
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Sohan Lal Solanki, Saneya Pandrowala, Abhirup Nayak, Manish Bhandare, Reshma P Ambulkar, Shailesh V Shrikhande. Artificial intelligence in perioperative management of major gastrointestinal surgeriesWorld Journal of Gastroenterology 2021; 27(21): 2758-2770 doi: 10.3748/wjg.v27.i21.2758
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Guohua Zhao, Xi Chen, Mengying Zhu, Yang Liu, Yue Wang. Exploring the application and future outlook of Artificial intelligence in pancreatic cancerFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1345810
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Johannes Klose, Jessica Doebereiner, Yoshiaki Sunami, Artur Rebelo, Ulrich Ronellenfitsch, Jorg Kleeff. Future of Pancreatic Cancer Therapy: Getting Better, But not Good Enough YeArchives of Medical Research 2025; 56(8) doi: 10.1016/j.arcmed.2025.103336
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Ziying Lin, Bingjun Tang, Jinxiu Cai, Xiangpeng Wang, Changxin Li, Xiaodong Tian, Yinmo Yang, Xiaoying Wang. Preoperative prediction of clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomyEuropean Journal of Radiology 2021; 139 doi: 10.1016/j.ejrad.2021.109693
9
Olexii I. Dronov, Inna O. Kovalska, Andrii I. Horlach, Ivanna A. Shchyhel. PREDICTION OF EXTERNAL PANCREATIC FISTULA DEVELOPMENT IN PATIENTS WITH ACUTE INFECTED NECROTISING PANCREATITISWiadomości Lekarskie 2023; 76(11) doi: 10.36740/WLek202311104
10
Hager Saleh, Nora El-Rashidy, Eman Mohamed, Ahmad M Sultan, Ayman El Nakeeb, Shaker El-Sappagh. Machine learning model for predicting pancreatic fistula after pancreatoduodenectomy2023 Intelligent Methods, Systems, and Applications (IMSA) 2023;  doi: 10.1109/IMSA58542.2023.10217619
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T. A. Samgina. Predicting the course and outcome of acute alcoholic-alimentary pancreatitis, taking into account the genetic status of the patient according to the polymorphic loci rs11546155 and rs6119534 of the GGT7 geneExperimental and Clinical Gastroenterology 2023; (8) doi: 10.31146/1682-8658-ecg-204-8-35-40
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Yohan Kim, Eun Young Kim, Mi Young Kim, Baek Hwan Cho. Immune-enhanced machine learning approach for early detection of precancerous colorectal neoplasia: Insights from biomarkers in routine health checkupsEuropean Journal of Cancer 2025; 229 doi: 10.1016/j.ejca.2025.115786
13
Lei Yao, Kai Zhu, Jian Yuan, Zhao-Xia Luo, Wen-Guang Huang. Retrospective investigation of risk factors for pancreatic fistula development after pancreaticoduodenectomyWorld Journal of Gastrointestinal Surgery 2025; 17(10): 106685 doi: 10.4240/wjgs.v17.i10.106685
14
A. N. Ataeva, S. M. Titkova, A. O. Lysenko, A. O. Kurskov, M. V. Kozodaeva, K. D. Dalgatov, A. V. Sazhin. Using scores for predicting the risk of postoperative pancreatic fistulaAnnaly khirurgicheskoy gepatologii = Annals of HPB Surgery 2026; 31(1) doi: 10.16931/1995-5464.2026-1-60-67
15
Woohyung Lee, Hyo Jung Park, Hack-Jin Lee, Ki Byung Song, Dae Wook Hwang, Jae Hoon Lee, Kyongmook Lim, Yousun Ko, Hyoung Jung Kim, Kyung Won Kim, Song Cheol Kim. Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistulaScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-51777-2
16
Hua Yin, Feixiong Zhang, Xiaoli Yang, Xiangkun Meng, Yu Miao, Muhammad Saad Noor Hussain, Li Yang, Zhaoshen Li. Research trends of artificial intelligence in pancreatic cancer: a bibliometric analysisFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.973999
17
Ankit Shukla, Rajesh Chaudhary, Nishant Nayyar. Role of artificial intelligence in gastrointestinal surgeryArtificial Intelligence in Cancer 2024; 5(2): 97317 doi: 10.35713/aic.v5.i2.97317
18
Akseli Bonsdorff, Ville Sallinen. Prediction of postoperative pancreatic fistula and pancreatitis after pancreatoduodenectomy or distal pancreatectomy: A reviewScandinavian Journal of Surgery 2023; 112(2) doi: 10.1177/14574969231167781
19
Nicolò Cardobi, Riccardo De Robertis, Mirko D’Onofrio. Imaging and Pathology of Pancreatic Neoplasms2022;  doi: 10.1007/978-3-031-09831-4_13
20
Jian Su, Mengyao Li, Xinglin Wan, Hao Yu, Yanan Wan, Dong Hang, Yan Lu, Ran Tao, Ming Wu, Jinyi Zhou, Xikang Fan. Associations of diabetes, prediabetes and diabetes duration with the risk of chronic obstructive pulmonary disease: A prospective UK Biobank studyDiabetes, Obesity and Metabolism 2023; 25(9) doi: 10.1111/dom.15142
21
Pasang Sherpa, Fernando F Stancampiano, John A Stauffer, Baoan Ji, Kelvin S Y Shi, Yan Bi. Advancements in postoperative pancreatic fistula: a comprehensive review of predictive factors, therapies, scoring systems and ongoing trialseGastroenterology 2025; 3(4) doi: 10.1136/egastro-2025-100232
22
Giovanni Capretti, Cristiana Bonifacio, Crescenzo De Palma, Martina Nebbia, Caterina Giannitto, Pierandrea Cancian, Maria Elena Laino, Luca Balzarini, Nickolas Papanikolaou, Victor Savevski, Alessandro Zerbi. A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomyUpdates in Surgery 2022; 74(1) doi: 10.1007/s13304-021-01174-5
23
Feng Yang, John A Windsor, De-Liang Fu. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectivesWorld Journal of Gastroenterology 2024; 30(10): 1329-1345 doi: 10.3748/wjg.v30.i10.1329
24
Po‐Ting Chen, Dawei Chang, Tinghui Wu, Ming‐Shiang Wu, Weichung Wang, Wei‐Chih Liao. Applications of artificial intelligence in pancreatic and biliary diseasesJournal of Gastroenterology and Hepatology 2021; 36(2) doi: 10.1111/jgh.15380
25
So Jeong Yoon, Wooil Kwon, Ok Joo Lee, Ji Hye Jung, Yong Chan Shin, Chang-Sup Lim, Hongbeom Kim, Jin-Young Jang, Sang Hyun Shin, Jin Seok Heo, In Woong Han. External validation of risk prediction platforms for pancreatic fistula after pancreatoduodenectomy using nomograms and artificial intelligenceAnnals of Surgical Treatment and Research 2022; 102(3) doi: 10.4174/astr.2022.102.3.147
26
Wessel T. Stam, Lotte K. Goedknegt, Erik W. Ingwersen, Linda J. Schoonmade, Emma R.J. Bruns, Freek Daams. The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: A systematic reviewSurgery 2022; 171(4) doi: 10.1016/j.surg.2021.10.002
27
Wessel T. Stam, Erik W. Ingwersen, Mahsoem Ali, Jorik T. Spijkerman, Geert Kazemier, Emma R. J. Bruns, Freek Daams. Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgerySurgery Today 2023; 53(10) doi: 10.1007/s00595-023-02662-4
28
Vsevolod Nikolaevich Galkin, Andrey Germanovich Kriger, David Semenovich Gorin, Nikolay Alekseevich Pronin, Vladmir Igorevich Panteleev, Alexander Alexandrovich Goev, Tigran Artashesovich Martirosyan, Gleb Vsevolodovich Galkin, Evgeniy Alexandrovich Ahtanin, Alexander Alexandrovich Sokolov. Pancreaticoduodenectomy in a soft pancreasJournal of Experimental and Clinical Surgery 2025; 18(3) doi: 10.18499/2070-478X-2025-18-3-177-187
29
Imtiakum Jamir, Niteen Kumar, Gaurav Sood, Abhideep Chaudhary. Complications of Cancer Therapy: Best Practices in Prevention and Management2024;  doi: 10.1007/978-981-99-0984-1_35
30
Swati Rana, Palak Panjwal, Nishad Malik, Vandana Bhatia, Shiv Kumar kushawaha, Mahendra Singh Ashawat. The silent threat: Pelvic inflammatory disease and long-term health outcomes with managementJournal of Endometriosis and Pelvic Pain Disorders 2025; 17(4) doi: 10.1177/22840265251350207
31
Nicholas Gray, Helen Page, Iain Buchan, Dan W. Joyce. Risk and Uncertainty Communication in Deployed AI-based Clinical Decision Support Systems: A scoping reviewACM Transactions on Computing for Healthcare 2026;  doi: 10.1145/3830235
32
Kevin A. Chen, Matthew E. Berginski, Chirag S. Desai, Jose G. Guillem, Jonathan Stem, Shawn M. Gomez, Muneera R. Kapadia. Differential Performance of Machine Learning Models in Prediction of Procedure-Specific OutcomesJournal of Gastrointestinal Surgery 2022; 26(8) doi: 10.1007/s11605-022-05332-x
33
Alapati Waili, Maidina Ruzimaimaiti, Maidina Talifu, Zhaoxin Zhuo, Yunzhen Jia, Wei Han. Postoperative pancreatic fistula: a bibliometric analysis of research trends and a meta-analysis on the association with intra pancreatic fat depositionScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-27860-7
34
Mona Saleh, Mohammad AlHamaydeh, Mohamed Zakaria. Shear capacity prediction for reinforced concrete deep beams with web openings using artificial intelligence methodsEngineering Structures 2023; 280 doi: 10.1016/j.engstruct.2023.115675
35
So-Jeong Yoon, So-Kyung Yoon, Ji-Hye Jung, In-Woong Han, Dong-Wook Choi, Jin-Seok Heo, Sang-Hyun Shin. Realistic Advantages of Early Surgical Drain Removal after Pancreatoduodenectomy: A Single-Institution Retrospective StudyJournal of Clinical Medicine 2021; 10(12) doi: 10.3390/jcm10122716
36
Christoph Kuemmerli, Fabian Rössler, Caroline Berchtold, Michael C. Frey, Alexander Studier-Fischer, Amila Cizmic, Jan Philipp Jonas, Thilo Hackert, Felix Nickel, Philip C. Müller. Artificial intelligence in pancreatic surgery: current applicationsJournal of Pancreatology 2023; 6(2) doi: 10.1097/JP9.0000000000000129
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Zahraa M. Alhulaili, Ralph J. Linnemann, Larisa Dascau, Rick G. Pleijhuis, Joost M. Klaase. A Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis analysis to evaluate the quality of reporting of postoperative pancreatic fistula prediction models after pancreatoduodenectomy: A systematic reviewSurgery 2023; 174(3) doi: 10.1016/j.surg.2023.04.058
38
Giulia Pacella, Maria Chiara Brunese, Eleonora D’Imperio, Marco Rotondo, Andrea Scacchi, Mattia Carbone, Germano Guerra. Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability Status and PrognosisJournal of Clinical Medicine 2023; 12(23) doi: 10.3390/jcm12237380
39
Imán Laga Boul-Atarass, Carmen Cepeda Franco, José Domingo Sanmartín Sierra, Javier Castell Monsalve, Javier Padillo Ruiz. Virtual 3D models, augmented reality systems and virtual laparoscopic simulations in complicated pancreatic surgeries: state of art, future perspectives, and challengesInternational Journal of Surgery 2025; 111(3) doi: 10.1097/JS9.0000000000002231
40
Sibi Krishna Thiyagarajan, Alfredo Verastegui, John A. Stauffer, Katherine Poruk. Navigating the Spectrum of Pancreatic Surgery Complications: A ReviewComplications 2025; 2(4) doi: 10.3390/complications2040024
41
Valentina Bianchi, Mauro Giambusso, Alessandra De Iacob, Maria Michela Chiarello, Giuseppe Brisinda. Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative reviewUpdates in Surgery 2024; 76(3) doi: 10.1007/s13304-024-01801-x
42
志仁 许. From Traditional Scoring to Artificial Intelligence: Evolution and Prospects of Prediction Models for Postoperative Pancreatic Fistula after PancreaticoduodenectomyAdvances in Clinical Medicine 2026; 16(03) doi: 10.12677/acm.2026.1631008
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Kuldeep Rajpoot. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated ReviewCurrent Drug Targets 2025; 26(13) doi: 10.2174/0113894501394785250715165404
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Antonio Galluzzo, Ginevra Danti, Vittorio Miele. Remember: pancreas can be involved in polytrauma—what to expectJournal of Medical Imaging and Interventional Radiology 2025; 12(1) doi: 10.1007/s44326-025-00066-x
45
Zahraa M. Alhulaili, Rick G. Pleijhuis, Frederik J.H. Hoogwater, Maarten W. Nijkamp, Joost M. Klaase. Risk stratification of postoperative pancreatic fistula and other complications following pancreatoduodenectomy. How far are we? A scoping reviewLangenbeck's Archives of Surgery 2025; 410(1) doi: 10.1007/s00423-024-03581-9
46
Alvaro Ducas, Alberto Mangano, Leonardo Borgioli, Jessica Cassiani, Paula Lopez, Pier Cristoforo Giulianotti. The role of artificial intelligence in pancreatic surgery: Current and future perspectivesAnnals of Hepato-Biliary-Pancreatic Surgery 2025; 29(1) doi: 10.14701/ahbps.24-130
47
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) doi: 10.1007/s13304-022-01255-z
48
Erik W. Ingwersen, Wessel T. Stam, Bono J.V. Meijs, Joran Roor, Marc G. Besselink, Bas Groot Koerkamp, Ignace H.J.T. de Hingh, Hjalmar C. van Santvoort, Martijn W.J. Stommel, Freek Daams. Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomySurgery 2023; 174(3) doi: 10.1016/j.surg.2023.03.012
49
Zhi-Da Long, Chao Lu, Xi-Gang Xia, Bo Chen, Zhi-Xiang Xing, Lei Bie, Peng Zhou, Zhong-Lin Ma, Rui Wang. Personal predictive model based on systemic inflammation markers for estimation of postoperative pancreatic fistula following pancreaticoduodenectomyWorld Journal of Gastrointestinal Surgery 2022; 14(9): 963-975 doi: 10.4240/wjgs.v14.i9.963
50
Jisheng Zheng, Xiaoqin Lv, Lihui Jiang, Haiwei Liu, Xiaomin Zhao. Development of a Pancreatic Fistula Prediction Model After Pancreaticoduodenectomy Based on a Decision Tree and Random Forest AlgorithmThe American Surgeon™ 2025; 91(9) doi: 10.1177/00031348231158692