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 (9195)
All Articles published online
|
Publishing Process of This Article
|
Oct 7, 2021 (publication date) through May 23, 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: | Christou CD, Tsoulfas G. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2021; 27(37): 6191-6223 [PMID: 34712027 DOI: 10.3748/wjg.v27.i37.6191] |
|---|---|
| URL: | https://www.wjgnet.com/2644-3236/full/v27/i37/6191.htm |
| Number | Citing Articles |
| 1 |
Chrysanthos D. Christou, Eleni C. Athanasiadou, Andreas I. Tooulias, Argyrios Tzamalis, Georgios Tsoulfas. The process of estimating the cost of surgery: Providing a practical framework for surgeons. The International Journal of Health Planning and Management 2022; 37(4): 1926 doi: 10.1002/hpm.3431
|
| 2 |
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise. Journal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
|
| 3 |
Marietta Iacucci, Giovanni Santacroce, Irene Zammarchi, Yasuharu Maeda, Rocío Del Amor, Pablo Meseguer, Bisi Bode Kolawole, Ujwala Chaudhari, Antonio Di Sabatino, Silvio Danese, Yuichi Mori, Enrico Grisan, Valery Naranjo, Subrata Ghosh. Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease. The Lancet Gastroenterology & Hepatology 2024; doi: 10.1016/S2468-1253(24)00053-0
|
| 4 |
Maksymilian Ludwig, Bartłomiej Ludwig, Agnieszka Mikuła, Szymon Biernat, Jerzy Rudnicki, Krzysztof Kaliszewski. The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update. Cancers 2023; 15(3): 708 doi: 10.3390/cancers15030708
|
| 5 |
Chrysanthos D. Christou, Angelos C. Mitsas, Ioannis Vlachavas, Georgios Tsoulfas. The Use of Machine Learning in MicroRNA Diagnostics: Current
Perspectives. MicroRNA 2022; 11(3): 175 doi: 10.2174/2211536611666220818145553
|
| 6 |
Simona-Ruxandra Volovat, Iolanda Augustin, Daniela Zob, Diana Boboc, Florin Amurariti, Constantin Volovat, Cipriana Stefanescu, Cati Raluca Stolniceanu, Manuela Ciocoiu, Eduard Alexandru Dumitras, Mihai Danciu, Delia Gabriela Ciobanu Apostol, Vasile Drug, Sinziana Al Shurbaji, Lucia-Georgiana Coca, Florin Leon, Adrian Iftene, Paul-Corneliu Herghelegiu. Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI. Cancers 2022; 14(19): 4834 doi: 10.3390/cancers14194834
|
| 7 |
J Alfredo Martínez, Marta Alonso-Bernáldez, Diego Martínez-Urbistondo, Juan A Vargas-Nuñez, Ana Ramírez de Molina, Alberto Dávalos, Omar Ramos-Lopez. Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases. World Journal of Gastroenterology 2022; 28(44): 6230-6248 doi: 10.3748/wjg.v28.i44.6230
|
| 8 |
Valeria Tonini, Gabriele Vigutto, Riccardo Donati. Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligence. Artificial Intelligence in Gastroenterology 2022; 3(2): 28-35 doi: 10.35712/aig.v3.i2.28
|
| 9 |
Abdulqadir J. Nashwan, Ahmad A. Abujaber, Hassan Choudry. Embracing the future of physician-patient communication: GPT-4 in gastroenterology. Gastroenterology & Endoscopy 2023; 1(3): 132 doi: 10.1016/j.gande.2023.07.004
|
| 10 |
Zoltan Czako, Teodora Surdea-Blaga, Gheorghe Sebestyen, Anca Hangan, Dan Lucian Dumitrascu, Liliana David, Giuseppe Chiarioni, Edoardo Savarino, Stefan Lucian Popa. Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning. Sensors 2021; 22(1): 253 doi: 10.3390/s22010253
|
| 11 |
Albert E. Jergens, Romy M. Heilmann. Canine chronic enteropathy—Current state-of-the-art and emerging concepts. Frontiers in Veterinary Science 2022; 9 doi: 10.3389/fvets.2022.923013
|
| 12 |
Faizan Siddiqui, Danish Aslam, Khushnuma Tanveer, Mohamed Soudy. Artificial Intelligence and Autoimmune Diseases. Studies in Computational Intelligence 2024; 1133: 61 doi: 10.1007/978-981-99-9029-0_3
|
| 13 |
Abhimati Ravikulan, Kamran Rostami. Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma: A step towards precision medicine. World Journal of Gastroenterology 2024; 30(5): 424-428 doi: 10.3748/wjg.v30.i5.424
Abstract(168) |
Core Tip(151) |
Full Article(HTML)(1077)
|
Full Article with Cover (PDF)-3548K(93)
|
Full Article (Word)-242K(20)
|
Audio-234K(4)
|
Peer-Review Report-224K(41)
|
Answering Reviewers-264K(30)
|
Full Article (PDF)-550K(74)
|
Full Article (XML)-38K(23)
|
Times Cited (0)
|
Total Visits (2440)
|
Open
|
| 14 |
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative review. Artificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117
|
| 15 |
Chrysanthos D Christou, Georgios Tsoulfas. Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!. World Journal of Gastroenterology 2023; 29(48): 6168-6178 doi: 10.3748/wjg.v29.i48.6168
Abstract(190) |
Core Tip(174) |
Full Article(HTML)(1075)
|
Full Article with Cover (PDF)-906K(96)
|
Full Article (Word)-136K(23)
|
Audio-1348K(2)
|
Peer-Review Report-249K(32)
|
Answering Reviewers-150K(26)
|
Full Article (PDF)-435K(93)
|
Full Article (XML)-140K(21)
|
Times Cited (0)
|
Total Visits (2536)
|
Open
|
| 16 |
Zahra Akbari Heydarabadi, Seyedeh Somayeh Naghibi. Diagnosing Thyroid-associated Ophthalmopathy with AI Algorithms Based on Facial Images: a Review. 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP) 2024; : 1 doi: 10.1109/AISP61396.2024.10475288
|
| 17 |
Pierre Allaume, Noémie Rabilloud, Bruno Turlin, Edouard Bardou-Jacquet, Olivier Loréal, Julien Calderaro, Zine-Eddine Khene, Oscar Acosta, Renaud De Crevoisier, Nathalie Rioux-Leclercq, Thierry Pecot, Solène-Florence Kammerer-Jacquet. Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review. Diagnostics 2023; 13(10): 1799 doi: 10.3390/diagnostics13101799
|
| 18 |
Marcos Mucenic, Ajacio Bandeira de Mello Brandão, Claudio Augusto Marroni. Artificial intelligence and human liver allocation: Potential benefits and ethical implications. Artificial Intelligence in Gastroenterology 2022; 3(1): 21-27 doi: 10.35712/aig.v3.i1.21
Abstract(468) |
Core Tip(422) |
Full Article(HTML)(1439)
|
Full Article (PDF)-953K(158)
|
Full Article (Word)-118K(120)
|
Audio-367K(13)
|
Peer-Review Report-561K(96)
|
Answering Reviewers-64K(67)
|
Times Cited (0)
|
Total Visits (5542)
|
Open
|
| 19 |
Jun Huang, Chunbei Zhao, Xinhe Zhang, Qiaohui Zhao, Yanting Zhang, Liping Chen, Guifu Dai. Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicine. Frontiers in Pharmacology 2022; 13 doi: 10.3389/fphar.2022.1079566
|
| 20 |
Yoshihiro Kamada, Takahiro Nakamura, Satoko Isobe, Kumiko Hosono, Yukiko Suama, Yukie Ohtakaki, Arihito Nauchi, Naoto Yasuda, Soh Mitsuta, Kouichi Miura, Takuma Yamamoto, Tatsunori Hosono, Akihiro Yoshida, Ippei Kawanishi, Hideaki Fukushima, Masao Kinoshita, Atsushi Umeda, Yuichi Kinoshita, Kana Fukami, Toshio Miyawaki, Hideki Fujii, Yuichi Yoshida, Miwa Kawanaka, Hideyuki Hyogo, Asahiro Morishita, Hideki Hayashi, Hiroshi Tobita, Kengo Tomita, Tadashi Ikegami, Hirokazu Takahashi, Masato Yoneda, Dae Won Jun, Yoshio Sumida, Takeshi Okanoue, Atsushi Nakajima. SWOT analysis of noninvasive tests for diagnosing NAFLD with severe fibrosis: an expert review by the JANIT Forum. Journal of Gastroenterology 2023; 58(2): 79 doi: 10.1007/s00535-022-01932-1
|
| 21 |
James H. Lewis. Digitizing DILI: Who can? RUCAM? RECAM?. Hepatology 2022; 76(1): 3 doi: 10.1002/hep.32312
|
| 22 |
Nina DeFranco Tommarello, Rebecca A. Deek. The Convergence of the Internet of Things and Artificial Intelligence in Medicine: Assessing the Benefits, Challenges, and Risks. Computer 2024; 57(2): 95 doi: 10.1109/MC.2023.3321188
|