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Cited by in CrossRef
For: Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol 2020; 26(34): 5090-5100 [PMID: 32982111 DOI: 10.3748/wjg.v26.i34.5090]
URL: https://www.wjgnet.com/2644-3236/full/v26/i34/5090.htm
Number Citing Articles
1
Ahmad Chaddad, Yousef Katib, Lama Hassan. Future artificial intelligence tools and perspectives in medicineCurrent Opinion in Urology 2021; 31(4): 371 doi: 10.1097/MOU.0000000000000884
2
Stephanie Taha-Mehlitz, Silvio Däster, Laura Bach, Vincent Ochs, Markus von Flüe, Daniel Steinemann, Anas Taha. Modern Machine Learning Practices in Colorectal Surgery: A Scoping ReviewJournal of Clinical Medicine 2022; 11(9): 2431 doi: 10.3390/jcm11092431
3
Raquel Ortigão, Diogo Libânio, Mário Dinis‐Ribeiro. The future of endoscopic resection for early gastric cancerJournal of Surgical Oncology 2022; 125(7): 1110 doi: 10.1002/jso.26851
4
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospectsWorld Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
5
M Alvaro Berbís, José Aneiros-Fernández, F Javier Mendoza Olivares, Enrique Nava, Antonio Luna. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseasesWorld Journal of Gastroenterology 2021; 27(27): 4395-4412 doi: 10.3748/wjg.v27.i27.4395
6
Zihua Lu, Youming Xu, Liwen Yao, Wei Zhou, Wei Gong, Genhua Yang, Mingwen Guo, Beiping Zhang, Xu Huang, Chunping He, Rui Zhou, Yunchao Deng, Honggang Yu. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)Gastrointestinal Endoscopy 2022; 95(6): 1186 doi: 10.1016/j.gie.2021.11.049
7
Cui Guo, Xingdong Kang, Fang Cao, Jian Yang, Yimin Xu, Xiaoqiang Liu, Yuan Li, Xiumei Ma, Xiaoling Fu. Network Pharmacology and Molecular Docking on the Molecular Mechanism of Luo-hua-zi-zhu (LHZZ) Granule in the Prevention and Treatment of Bowel Precancerous LesionsFrontiers in Pharmacology 2021; 12 doi: 10.3389/fphar.2021.629021
8
Jacopo Crippa, Donato F. Altomare, Antonino Spinelli. Cutting-Edge Research Trends in Colorectal DiseaseJournal of Clinical Medicine 2022; 11(4): 1036 doi: 10.3390/jcm11041036
9
Michelle Viscaino, Javier Torres Bustos, Pablo Muñoz, Cecilia Auat Cheein, Fernando Auat Cheein. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptionsWorld Journal of Gastroenterology 2021; 27(38): 6399-6414 doi: 10.3748/wjg.v27.i38.6399
10
Ankit Srivastava, Sandhya Rai, Manish Pratap Singh, Sameer Srivastava. Computational Intelligence in OncologyStudies in Computational Intelligence 2022; 1016: 387 doi: 10.1007/978-981-16-9221-5_22
11
Yu Li, Da Zhou, Tao-Tao Liu, Xi-Zhong Shen. Application of deep learning in image recognition and diagnosis of gastric cancerArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(2): 12-24 doi: 10.37126/aige.v2.i2.12
12
Yu-Jer Hsiao, Yuan-Chih Wen, Wei-Yi Lai, Yi-Ying Lin, Yi-Ping Yang, Yueh Chien, Aliaksandr A Yarmishyn, De-Kuang Hwang, Tai-Chi Lin, Yun-Chia Chang, Ting-Yi Lin, Kao-Jung Chang, Shih-Hwa Chiou, Ying-Chun Jheng. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancerWorld Journal of Gastroenterology 2021; 27(22): 2979-2993 doi: 10.3748/wjg.v27.i22.2979