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Cited by in CrossRef
For: Yang Y, Li YX, Yao RQ, Du XH, Ren C. Artificial intelligence in small intestinal diseases: Application and prospects. World J Gastroenterol 2021; 27(25): 3734-3747 [PMID: 34321840 DOI: 10.3748/wjg.v27.i25.3734]
URL: https://www.wjgnet.com/1007-9327/full/v27/i25/3734.htm
Number Citing Articles
1
Benjamin M. Mervak, Jessica G. Fried, Ashish P. Wasnik. A Review of the Clinical Applications of Artificial Intelligence in Abdominal ImagingDiagnostics 2023; 13(18): 2889 doi: 10.3390/diagnostics13182889
2
M. Bouali, K. Sylvestre, H. Benghait, A. El Bakouri, K. El Hattabi, F.Z. Bensardi, A. Fadil. Small bowel adenocarcinoma a rare cause of upper gastrointestinal obstruction (a case report and literature review)International Journal of Surgery Case Reports 2022; 91: 106763 doi: 10.1016/j.ijscr.2022.106763
3
Jingxian Liu, Jing Zhao, Chencui Huang, Jingxu Xu, Wei Liu, Jiajia Yu, Hongyan Guan, Ying Liu, Lisong Shen. A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexesAnnals of Clinical Microbiology and Antimicrobials 2022; 21(1) doi: 10.1186/s12941-022-00541-3
4
Mahmoud Khatib A.A. Al-Ruweidi, Nada Khater, Haya Rashid Alkaabi, Maram Hasan, Mohammed Murtaza, Huseyin C. Yalcin. Immunology of the GI Tract - Recent Advances2022;  doi: 10.5772/intechopen.106185
5
Yu Chen, Xinyan Shi, Zhiyi Wang, Lin Zhang. Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective studyBMC Pregnancy and Childbirth 2024; 24(1) doi: 10.1186/s12884-024-06933-x
6
Ioannis A. Vezakis, George I. Lambrou, Aikaterini Kyritsi, Anna Tagka, Argyro Chatziioannou, George K. Matsopoulos. Detecting Skin Reactions in Epicutaneous Patch Testing with Deep Learning: An Evaluation of Pre-Processing and Modality PerformanceBioengineering 2023; 10(8): 924 doi: 10.3390/bioengineering10080924
7
Shen Li, Maosen Xu, Yuanling Meng, Haozhen Sun, Tao Zhang, Hanle Yang, Yueyi Li, Xuelei Ma. The application of the combination between artificial intelligence and endoscopy in gastrointestinal tumorsMedComm – Oncology 2024; 3(4) doi: 10.1002/mog2.91
8
Mohd Faizan Siddiqui, Azaroual Mouna, Gregory Nicolas, Syed Ali Abbas Rahat, Ainura Mitalipova, Nancy Emmanuel, Nazgul Tashmatova. Computational Intelligence in OncologyStudies in Computational Intelligence 2022; 1016: 233 doi: 10.1007/978-981-16-9221-5_14
9
Athanasios G. Pantelis, Panagiota A. Panagopoulou, Dimitris P. Lapatsanis. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping ReviewDiagnostics 2022; 12(4): 874 doi: 10.3390/diagnostics12040874