Artificial Intelligence in Gastroenterology - Baishideng Publishing Group

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 26, Issue 39

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (6219)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Tables (1-1) series.

Item

Count

PDF

555

WORD

182

HTML

3827

Tables (1-1)

236

Sum=4800

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

500

Download

919

Sum=1419

Oct 21, 2020 (publication date) through Apr 23, 2024

Times Cited of This Article

Times Cited (21)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Huang LM, Yang WJ, Huang ZY, Tang CW, Li J. Artificial intelligence technique in detection of early esophageal cancer. World J Gastroenterol 2020; 26(39): 5959-5969 [PMID: 33132647 DOI: 10.3748/wjg.v26.i39.5959]
URL:	https://www.wjgnet.com/2644-3236/full/v26/i39/5959.htm

Number	Citing Articles
1	Wenju Du, Nini Rao, Jiahao Yong, Yingchun Wang, Dingcan Hu, Tao Gan, Linlin Zhu, Bing Zeng. Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning. Journal of Medical Systems 2022; 46(1) doi: 10.1007/s10916-021-01782-z
2	Wei-Chih Liao, Arvind Mukundan, Cleorita Sadiaza, Yu-Ming Tsao, Chien-Wei Huang, Hsiang-Chen Wang. Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging. Biomedical Optics Express 2023; 14(8): 4383 doi: 10.1364/BOE.492635
3	Amrit K. Kamboj, Siddharth Agarwal, Prasad G. Iyer. Recent Advances in the Artificial Intelligence–Assisted Detection of Esophageal Neoplasia. Current Treatment Options in Gastroenterology 2021; 19(3): 459 doi: 10.1007/s11938-021-00353-y
4	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
5	Jinzhuang Liao, Xiaoying Li, Yu Gan, Shuangze Han, Pengfei Rong, Wei Wang, Wei Li, Li Zhou. Artificial intelligence assists precision medicine in cancer treatment. Frontiers in Oncology 2023; 12 doi: 10.3389/fonc.2022.998222
6	Kai-Yao Yang, Arvind Mukundan, Yu-Ming Tsao, Xian-Hong Shi, Chien-Wei Huang, Hsiang-Chen Wang. Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-47833-y
7	Pierfrancesco Visaggi, Nicola de Bortoli, Brigida Barberio, Vincenzo Savarino, Roberto Oleas, Emma M. Rosi, Santino Marchi, Mentore Ribolsi, Edoardo Savarino. Artificial Intelligence in the Diagnosis of Upper Gastrointestinal Diseases. Journal of Clinical Gastroenterology 2022; 56(1): 23 doi: 10.1097/MCG.0000000000001629
8	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
9	Hongbiao Ma, Longlun Wang, Yinlin Chen, Lu Tian. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis. Saudi Journal of Gastroenterology 2022; 28(5): 332 doi: 10.4103/sjg.sjg_178_22
10	Tao Yan, Pak Kin Wong, Ye-Ying Qin. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World Journal of Gastroenterology 2021; 27(20): 2531-2544 doi: 10.3748/wjg.v27.i20.2531 Abstract(569) \| Core Tip(510) \| Full Article(HTML)(3881) \| Full Article (PDF)-6017K(498) \| Full Article (Word)-1085K(235) \| Audio-580K(2) \| Peer-Review Report-508K(153) \| Answering Reviewers-445K(166) \| Times Cited (13) \| Total Visits (9388) \| Open
11	Caroline Gronnier, Denis Collet. New Trends in Esophageal Cancer Management. Cancers 2021; 13(12): 3030 doi: 10.3390/cancers13123030
12	Karen E. Villagrana-Bañuelos, Vanessa Alcalá-Rmz, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos E. Galván-Tejada. Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). Lecture Notes in Networks and Systems 2023; 594: 169 doi: 10.1007/978-3-031-21333-5_17
13	Xiang Lin, Zhang Juxiao, Yin Lu, Ji Wenpei. Multimedia Technology and Enhanced Learning. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024; 535: 95 doi: 10.1007/978-3-031-50580-5_9
14	Pierfrancesco Visaggi, Brigida Barberio, Matteo Ghisa, Mentore Ribolsi, Vincenzo Savarino, Matteo Fassan, Michele Valmasoni, Santino Marchi, Nicola de Bortoli, Edoardo Savarino. Modern Diagnosis of Early Esophageal Cancer: From Blood Biomarkers to Advanced Endoscopy and Artificial Intelligence. Cancers 2021; 13(13): 3162 doi: 10.3390/cancers13133162
15	Hong-Tao Qu, Qing Li, Liang Hao, Yan-Jing Ni, Wen-Yu Luan, Zhe Yang, Xiao-Dong Chen, Tong-Tong Zhang, Yan-Dong Miao, Fang Zhang. Esophageal cancer screening, early detection and treatment: Current insights and future directions. World Journal of Gastrointestinal Oncology 2024; 16(4): 1180-1191 doi: 10.4251/wjgo.v16.i4.1180 Abstract(42) \| Core Tip(33) \| Full Article(HTML)(141) \| Full Article with Cover (PDF)-1403K(33) \| Audio-1486K(0) \| Peer-Review Report-215K(3) \| Answering Reviewers-142K(3) \| Full Article (PDF)-1173K(9) \| Full Article (XML)-191K(2) \| Times Cited (0) \| Total Visits (542) \| Open
16	Donghong Zhou. Human-Computer Interaction Interface Design in Intelligent Medical System under the Background of Artificial Intelligence. 2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) 2022; : 10 doi: 10.1109/AIARS57204.2022.00010
17	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
18	Vikrant Rai, Joe Abdo, Devendra K. Agrawal. Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal Cancers. International Journal of Molecular Sciences 2023; 24(4): 3316 doi: 10.3390/ijms24043316
19	Jun-Qi Zhang, Jun-Jie Mi, Rong Wang. Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis. World Journal of Gastrointestinal Oncology 2023; 15(11): 1998-2016 doi: 10.4251/wjgo.v15.i11.1998 Abstract(151) \| Core Tip(176) \| Full Article(HTML)(681) \| Full Article with Cover (PDF)-3503K(21) \| Full Article (Word)-2629K(9) \| Audio-394K(1) \| Peer-Review Report-206K(11) \| Answering Reviewers-170K(12) \| Full Article (PDF)-3212K(24) \| Full Article (XML)-231K(11) \| Times Cited (0) \| Total Visits (1793) \| Open