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Cited by in CrossRef
For: Minchenberg SB, Walradt T, Glissen Brown JR. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy. World J Gastrointest Oncol 2022; 14(5): 989-1001 [PMID: 35646286 DOI: 10.4251/wjgo.v14.i5.989]
URL: https://www.wjgnet.com/1007-9327/full/v14/i5/989.htm
Number Citing Articles
Nadia Guidozzi, Nainika Menon, Swathikan Chidambaram, Sheraz Rehan Markar. The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysisDiseases of the Esophagus 2023; 36(12) doi: 10.1093/dote/doad048
Antje Timmer. Handbook of Epidemiology2023; : 1 doi: 10.1007/978-1-4614-6625-3_49-1
Bhamini Vadhwana, Munir Tarazi, Vanash Patel. The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-AnalysisDiagnostics 2023; 13(20): 3267 doi: 10.3390/diagnostics13203267
Nainika Menon, Nadia Guidozzi, Swathikan Chidambaram, Sheraz Rehan Markar. Performance of radiomics-based artificial intelligence systems in the diagnosis and prediction of treatment response and survival in esophageal cancer: a systematic review and meta-analysis of diagnostic accuracyDiseases of the Esophagus 2023; 36(6) doi: 10.1093/dote/doad034
Jia-xin Tu, Xue-ting Lin, Hui-qing Ye, Shan-lan Yang, Li-fang Deng, Ruo-ling Zhu, Lei Wu, Xiao-qiang Zhang. Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.972357
Fatemeh Rousta, Ali Esteki, Ahmad shalbaf, Amir Sadeghi, Pardis Ketabi Moghadam, Ardalan Voshagh. Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic reviewComputer Methods and Programs in Biomedicine 2024; 250: 108205 doi: 10.1016/j.cmpb.2024.108205