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 (6962)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Dec 14, 2020 (publication date) through Apr 26, 2024
Times Cited of This Article
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
| For: | Parasher G, Wong M, Rawat M. Evolving role of artificial intelligence in gastrointestinal endoscopy. World J Gastroenterol 2020; 26(46): 7287-7298 [PMID: 33362384 DOI: 10.3748/wjg.v26.i46.7287] |
|---|---|
| URL: | https://www.wjgnet.com/2644-3236/full/v26/i46/7287.htm |
| Number | Citing Articles |
| 1 |
Hai-Yang Chen, Peng Ge, Jia-Yue Liu, Jia-Lin Qu, Fang Bao, Cai-Ming Xu, Hai-Long Chen, Dong Shang, Gui-Xin Zhang. Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease. World Journal of Gastroenterology 2022; 28(20): 2152-2162 doi: 10.3748/wjg.v28.i20.2152
|
| 2 |
Caesar Ferrari, Micheal Tadros. Enhancing the Quality of Upper Gastrointestinal Endoscopy: Current Indicators and Future Trends. Gastroenterology Insights 2023; 15(1): 1 doi: 10.3390/gastroent15010001
|
| 3 |
Utkarsh Ojha, James Ayathamattam, Kenneth Okonkwo, Innocent Ogunmwonyi. Recent Updates and Technological Developments in Evaluating Cardiac
Syncope in the Emergency Department. Current Cardiology Reviews 2022; 18(6) doi: 10.2174/1573403X18666220421110935
|
| 4 |
Liang Wang, Hui Song, Ming Wang, Hui Wang, Ran Ge, Yan Shen, Yongli Yu, Kalidoss Rajakani. Utilization of Ultrasonic Image Characteristics Combined with Endoscopic Detection on the Basis of Artificial Intelligence Algorithm in Diagnosis of Early Upper Gastrointestinal Cancer. Journal of Healthcare Engineering 2021; 2021: 1 doi: 10.1155/2021/2773022
|
| 5 |
Hasan Maulahela, Nagita Gianty Annisa. Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding. Artificial Intelligence in Gastroenterology 2022; 3(1): 13-20 doi: 10.35712/aig.v3.i1.13
Abstract(620) |
Core Tip(389) |
Full Article(HTML)(2084)
|
Full Article (PDF)-964K(345)
|
Full Article (Word)-124K(134)
|
Audio-235K(3)
|
Peer-Review Report-561K(76)
|
Answering Reviewers-219K(63)
|
Times Cited (0)
|
Total Visits (5783)
|
Open
|
| 6 |
Kareem Khalaf, Maria Terrin, Manol Jovani, Tommy Rizkala, Marco Spadaccini, Katarzyna M. Pawlak, Matteo Colombo, Marta Andreozzi, Alessandro Fugazza, Antonio Facciorusso, Fabio Grizzi, Cesare Hassan, Alessandro Repici, Silvia Carrara. A Comprehensive Guide to Artificial Intelligence in Endoscopic Ultrasound. Journal of Clinical Medicine 2023; 12(11): 3757 doi: 10.3390/jcm12113757
|
| 7 |
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
|
| 8 |
Mohadeseh Mahmoudi Ghehsareh, Nastaran Asri, Sepehr Maleki, Mostafa Rezaei-Tavirani, Somayeh Jahani-Sherafat, Mohammad Rostami-Nejad. Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up. Iranian Journal of Blood and Cancer 2023; 15(3): 125 doi: 10.61186/ijbc.15.3.125
|
| 9 |
Glen Purnomo, Seng-Jin Yeo, Ming Han Lincoln Liow. Artificial intelligence in arthroplasty. Arthroplasty 2021; 3(1) doi: 10.1186/s42836-021-00095-3
|
| 10 |
Danny Con, Daniel R van Langenberg, Abhinav Vasudevan. Deep learning <i>vs</i> conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study. World Journal of Gastroenterology 2021; 27(38): 6476-6488 doi: 10.3748/wjg.v27.i38.6476
|
| 11 |
Jie-Hyun Kim, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn, Hyojin Park. An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers 2022; 14(23): 6000 doi: 10.3390/cancers14236000
|
| 12 |
Jeffrey R. Fetzer, Renisha Redij, Joshika Agarwal, Anjali Rajagopal, Keerthy Gopalakrishnan, Akhila Sai Sree Cherukuri, John League, Daniela Guerrero Vinsard, Cadman L. Leggett, Coelho-Prabhu Nayantara, Shivaram P. Arunachalam. Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study. 2023 IEEE International Conference on Electro Information Technology (eIT) 2023; : 655 doi: 10.1109/eIT57321.2023.10187234
|
| 13 |
Peng-fei Lyu, Yu Wang, Qing-Xiang Meng, Ping-ming Fan, Ke Ma, Sha Xiao, Xun-chen Cao, Guang-Xun Lin, Si-yuan Dong. Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.955668
|
| 14 |
Shiv Bahadur, Prashant Kumar. Deep Learning for Targeted Treatments. 2022; : 229 doi: 10.1002/9781119857983.ch8
|
| 15 |
Ian I. Lei, Gohar J. Nia, Elizabeth White, Hagen Wenzek, Santi Segui, Angus J. M. Watson, Anastasios Koulaouzidis, Ramesh P. Arasaradnam. Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made Simple. Diagnostics 2023; 13(6): 1038 doi: 10.3390/diagnostics13061038
|