Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Checklist of Responsibilities for the Scientific Editor of This Article
Publishing Process of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (5024)
All Articles published online
|
Publishing Process of This Article
|
Aug 14, 2020 (publication date) through Sep 30, 2023
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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 |
Akseli Bonsdorff, Ville Sallinen. Prediction of postoperative pancreatic fistula and pancreatitis after pancreatoduodenectomy or distal pancreatectomy: A review. Scandinavian Journal of Surgery 2023; 112(2): 126 doi: 10.1177/14574969231167781
|
| 2 |
Nicolò Cardobi, Riccardo De Robertis, Mirko D’Onofrio. Imaging and Pathology of Pancreatic Neoplasms. 2022; : 481 doi: 10.1007/978-3-031-09831-4_13
|
| 3 |
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 study. Diabetes, Obesity and Metabolism 2023; 25(9): 2575 doi: 10.1111/dom.15142
|
| 4 |
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 pancreatoduodenectomy. Updates in Surgery 2022; 74(1): 235 doi: 10.1007/s13304-021-01174-5
|
| 5 |
Po‐Ting Chen, Dawei Chang, Tinghui Wu, Ming‐Shiang Wu, Weichung Wang, Wei‐Chih Liao. Applications of artificial intelligence in pancreatic and biliary diseases. Journal of Gastroenterology and Hepatology 2021; 36(2): 286 doi: 10.1111/jgh.15380
|
| 6 |
Sohan Lal Solanki, Saneya Pandrowala, Abhirup Nayak, Manish Bhandare, Reshma P Ambulkar, Shailesh V Shrikhande. Artificial intelligence in perioperative management of major gastrointestinal surgeries. World Journal of Gastroenterology 2021; 27(21): 2758-2770 doi: 10.3748/wjg.v27.i21.2758
|
| 7 |
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 pancreaticoduodenectomy. European Journal of Radiology 2021; 139: 109693 doi: 10.1016/j.ejrad.2021.109693
|
| 8 |
Mona Saleh, Mohammad AlHamaydeh, Mohamed Zakaria. Shear capacity prediction for reinforced concrete deep beams with web openings using artificial intelligence methods. Engineering Structures 2023; 280: 115675 doi: 10.1016/j.engstruct.2023.115675
|
| 9 |
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 intelligence. Annals of Surgical Treatment and Research 2022; 102(3): 147 doi: 10.4174/astr.2022.102.3.147
|
| 10 |
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 Study. Journal of Clinical Medicine 2021; 10(12): 2716 doi: 10.3390/jcm10122716
|
| 11 |
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 applications. Journal of Pancreatology 2023; 6(2): 74 doi: 10.1097/JP9.0000000000000129
|
| 12 |
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 review. Surgery 2023; 174(3): 684 doi: 10.1016/j.surg.2023.04.058
|
| 13 |
Hager Saleh, Nora El-Rashidy, Eman Mohamed, Ahmad M Sultan, Ayman El Nakeeb, Shaker El-Sappagh. Machine learning model for predicting pancreatic fistula after pancreatoduodenectomy. 2023 Intelligent Methods, Systems, and Applications (IMSA) 2023; : 217 doi: 10.1109/IMSA58542.2023.10217619
|
| 14 |
D. Schlanger, F. Graur, C. Popa, E. Moiș, N. Al Hajjar. The role of artificial intelligence in pancreatic surgery: a systematic review. Updates in Surgery 2022; 74(2): 417 doi: 10.1007/s13304-022-01255-z
|
| 15 |
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 gene. Experimental and Clinical Gastroenterology 2023; (8): 35 doi: 10.31146/1682-8658-ecg-204-8-35-40
|
| 16 |
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 review. Surgery 2022; 171(4): 1014 doi: 10.1016/j.surg.2021.10.002
|
| 17 |
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 pancreatoduodenectomy. Surgery 2023; 174(3): 435 doi: 10.1016/j.surg.2023.03.012
|
| 18 |
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 pancreaticoduodenectomy. World Journal of Gastrointestinal Surgery 2022; 14(9): 963-975 doi: 10.4240/wjgs.v14.i9.963
|
| 19 |
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 analysis. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.973999
|
| 20 |
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 surgery. Surgery Today 2023; 53(10): 1209 doi: 10.1007/s00595-023-02662-4
|
| 21 |
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 Algorithm. The American Surgeon 2023; : 000313482311586 doi: 10.1177/00031348231158692
|