For: | Wang Z, Shao SL, Liu L, Lu QY, Mu L, Qin JC. Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study. World J Gastroenterol 2023; 29(19): 2979-2991 [PMID: 37274801 DOI: 10.3748/wjg.v29.i19.2979] |
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URL: | https://www.wjgnet.com/1007-9327/full/v29/i19/2979.htm |
Number | Citing Articles |
1 |
Yang Su, Yanqi Li, Wenshu Chen, Wangshuo Yang, Jichao Qin, Lu Liu. Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection. European Journal of Surgical Oncology 2023; 49(12): 107113 doi: 10.1016/j.ejso.2023.107113
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2 |
Xuena Zhang, Qingyu Meng, Jianna Du, Zhongtao Tian, Yinju Li, Bin Yu, Wenbo Niu. Risk factors of the low anterior resection syndrome (LARS) after ileostomy reversal in rectal cancer patient. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-79283-5
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3 |
Francesco Celotto, Giulia Capelli, Stefania Ferrari, Marco Scarpa, Salvatore Pucciarelli, Gaya Spolverato. Application and use of artificial intelligence in colorectal cancer surgery: where are we?. Artificial Intelligence Surgery 2024; 4(4): 348 doi: 10.20517/ais.2024.26
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4 |
Alka Yadav, Ashok Kumar. Artificial intelligence in rectal cancer: What is the future?. Artificial Intelligence in Cancer 2023; 4(2): 11-22 doi: 10.35713/aic.v4.i2.11
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