For: | Zhang YH, Guo LJ, Yuan XL, Hu B. Artificial intelligence-assisted esophageal cancer management: Now and future. World J Gastroenterol 2020; 26(35): 5256-5271 [PMID: 32994686 DOI: 10.3748/wjg.v26.i35.5256] |
---|---|
URL: | https://www.wjgnet.com/1007-9327/full/v26/i35/5256.htm |
Number | Citing Articles |
1 |
Hsu-Heng Yen, Ping-Yu Wu, Pei-Yuan Su, Chia-Wei Yang, Yang-Yuan Chen, Mei-Fen Chen, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin. Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease. Journal of Medical and Biological Engineering 2021; 41(4): 504 doi: 10.1007/s40846-021-00608-0
|
2 |
Tsung-Jung Tsai, Arvind Mukundan, Yu-Sheng Chi, Yu-Ming Tsao, Yao-Kuang Wang, Tsung-Hsien Chen, I-Chen Wu, Chien-Wei Huang, Hsiang-Chen Wang. Intelligent Identification of Early Esophageal Cancer by Band-Selective Hyperspectral Imaging. Cancers 2022; 14(17): 4292 doi: 10.3390/cancers14174292
|
3 |
Lingyu Wang, Ning Ding, Pengfei Zuo, Xuenan Wang, B Karunakara Rai. Application and Challenges of Artificial Intelligence in Medical Imaging. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) 2022; : 1 doi: 10.1109/ICKECS56523.2022.10059898
|
4 |
Jinming Wang, Qigang Long, Yan Liang, Jie Song, Yadong Feng, Peng Li, Wei Sun, Lingxiao Zhao. AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study. Medical & Biological Engineering & Computing 2023; doi: 10.1007/s11517-023-02777-3
|
5 |
Jennifer A. Eckhoff, Hans F. Fuchs, Ozanan R. Meireles. Anwendung von künstlicher Intelligenz in der onkologischen Chirurgie des oberen Gastrointestinaltrakts. Die Onkologie 2023; doi: 10.1007/s00761-023-01318-9
|
6 |
Nawaf R. Alharbe, Raafat M. Munshi, Manal M. Khayyat, Mashael M. Khayyat, Saadia Hassan Abdalaha Hamza, Abeer A. Aljohani, Laxmi Lydia. Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model. Computational Intelligence and Neuroscience 2022; 2022: 1 doi: 10.1155/2022/4629178
|
7 |
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023; : 49 doi: 10.1007/978-3-031-21506-3_3
|
8 |
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospects. World Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
|
9 |
Fang Liao, Shuangbin Yu, Ying Zhou, Benying Feng. A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.862536
|
10 |
Khalid M Bhatti, Zubair S Khanzada, Matta Kuzman, Syed M Ali, Syed Y Iftikhar, Peter Small. Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret’s Esophagus: A Meta-Analysis of Patient-Based Studies. Cureus 2021; doi: 10.7759/cureus.15447
|
11 |
Rhiannon McShane, Swati Arya, Alan J. Stewart, Peter D. Caie, Mark Bates. Prognostic features of the tumour microenvironment in oesophageal adenocarcinoma. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2021; 1876(2): 188598 doi: 10.1016/j.bbcan.2021.188598
|
12 |
Qing Li, Bing-Rong Liu. Application of artificial intelligence-assisted endoscopic detection of early esophageal cancer. World Chinese Journal of Digestology 2021; 29(24): 1389 doi: 10.11569/wcjd.v29.i24.1389
|
13 |
Qiang Shen, Hongyu Chen. A novel risk classification system based on the eighth edition of TNM frameworks for esophageal adenocarcinoma patients: A deep learning approach. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.887841
|
14 |
Ning Li, Shi-Zhu Jin. Artificial intelligence and early esophageal cancer. Artificial Intelligence in Gastrointestinal Endoscopy 2021; 2(5): 198-210 doi: 10.37126/aige.v2.i5.198
|
15 |
Yong Liu. Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?. World Journal of Gastroenterology 2021; 27(14): 1392-1405 doi: 10.3748/wjg.v27.i14.1392
|
16 |
Philip H. Pucher, Bas P.L. Wijnhoven, Timothy J. Underwood, John V. Reynolds, Andrew R. Davies. Thinking through the multimodal treatment of localized oesophageal cancer: the point of view of the surgeon. Current Opinion in Oncology 2021; 33(4): 353 doi: 10.1097/CCO.0000000000000751
|