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] |
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URL: | https://www.wjgnet.com/1007-9327/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
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2 |
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
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3 |
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
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4 |
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
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5 |
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
Abstract(67) |
Core Tip(67) |
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Audio-475K(1)
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Peer-Review Report-208K(13)
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Answering Reviewers-109K(10)
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Total Visits (1561)
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6 |
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
Abstract(194) |
Core Tip(132) |
Full Article(HTML)(571)
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Full Article (PDF)-2450K(84)
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Full Article (Word)-1037K(72)
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Audio-1278K(2)
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Peer-Review Report-354K(38)
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Answering Reviewers-676K(42)
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Total Visits (2244)
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7 |
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
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8 |
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
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9 |
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
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10 |
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(178) |
Core Tip(149) |
Full Article(HTML)(685)
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Full Article (PDF)-953K(80)
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Full Article (Word)-118K(74)
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Audio-367K(4)
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Peer-Review Report-561K(59)
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Answering Reviewers-64K(33)
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Times Cited (0)
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Total Visits (2613)
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11 |
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
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12 |
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
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13 |
James H. Lewis. Digitizing DILI: Who can? RUCAM? RECAM?. Hepatology 2022; 76(1): 3 doi: 10.1002/hep.32312
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