| For: | Ma JM, Wang PF, Yang LQ, Wang JK, Song JP, Li YM, Wen Y, Tang BJ, Wang XD. Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study. World J Gastroenterol 2025; 31(8): 102071 [PMID: 40062328 DOI: 10.3748/wjg.v31.i8.102071] |
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| URL: | https://www.wjgnet.com/1948-9366/full/v31/i8/102071.htm |
| Number | Citing Articles |
| 1 |
Supreet Kumar, Rigved Gupta, Aishwarya Bhalerao, Sonam Gupta, Vivek Tandon, Deepak Govil. Artificial Intelligence in Surgical Gastroenterology: From Predictive Models to Intraoperative Guidance. Apollo Medicine 2025; doi: 10.1177/09760016251369605
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| 2 |
Zhen Pengkai, Han Xiaoyi. Letter to Editor: Strengths and methodological considerations for predicting post-pancreatectomy acute pancreatitis. Pancreatology 2026; 26(1) doi: 10.1016/j.pan.2025.06.008
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| 3 |
Qianchang Wang, Zhe Wang, Fangfeng Liu, Zhengjian Wang, Qingqiang Ni, Hong Chang. Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy. BMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-02935-4
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| 4 |
Tiia Ojala, Akseli Bonsdorff, Helka Parviainen, Timo Tarvainen, Jukka Sirén, Arto Kokkola, Ville Sallinen. Comparing and validation of definitions of postoperative acute pancreatitis after pancreatoduodenectomy and proposal for Atlanta-Helsinki grading system. Surgery 2026; doi: 10.1016/j.surg.2026.110466
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| 5 |
Ye He, Ping Song, Ling Li, Tingting Ye. Best evidence summary of exercise rehabilitation in patients undergoing pancreaticoduodenectomy. Asia-Pacific Journal of Oncology Nursing 2026; 13 doi: 10.1016/j.apjon.2026.101002
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