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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/1948-5204/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 surgeonsThe International Journal of Health Planning and Management 2022; 37(4): 1926 doi: 10.1002/hpm.3431
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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 diseaseThe Lancet Gastroenterology & Hepatology 2024; 9(8): 758 doi: 10.1016/S2468-1253(24)00053-0
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Yoshihiro Kamada, Yoshio Sumida, Hirokazu Takahashi, Hideki Fujii, Miwa Kawanaka, Atsushi Nakajima. SWOT Analysis of Noninvasive Tests for Diagnosing MASLD with Severe Fibrosis: An Expert Review by the JANIT ForumKanzo 2025; 66(4): 105 doi: 10.2957/kanzo.66.105
4
D. D. Mukhametova, O. E. Akchurina, D. I. Abdulganieva. Artificial Intelligence in Ultrasound Diagnosis of Bowel Diseases: Modern PossibilitiesRussian Journal of Gastroenterology, Hepatology, Coloproctology 2026; 35(6): 27 doi: 10.22416/1382-4376-2025-35-6-27-34
5
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 AICancers 2022; 14(19): 4834 doi: 10.3390/cancers14194834
6
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 diseasesWorld Journal of Gastroenterology 2022; 28(44): 6230-6248 doi: 10.3748/wjg.v28.i44.6230
7
Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik. Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performanceDiscover Applied Sciences 2025; 7(4) doi: 10.1007/s42452-025-06823-7
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Valeria Tonini, Gabriele Vigutto, Riccardo Donati. Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligenceArtificial Intelligence in Gastroenterology 2022; 3(2): 28-35 doi: 10.35712/aig.v3.i2.28
9
Hong-Niu Wang, Jia-Hao An, Liang Zong. Estimating prognosis of gastric neuroendocrine neoplasms using machine learning: A step towards precision medicineWorld Journal of Gastrointestinal Oncology 2024; 16(12): 4548-4552 doi: 10.4251/wjgo.v16.i12.4548
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 LearningSensors 2021; 22(1): 253 doi: 10.3390/s22010253
11
Faizan Siddiqui, Danish Aslam, Khushnuma Tanveer, Mohamed Soudy. Artificial Intelligence and Autoimmune DiseasesStudies in Computational Intelligence 2024; 1133: 61 doi: 10.1007/978-981-99-9029-0_3
12
Tawseef Ahmed Teli, Sheikh Umar Mushtaq, Waseem Ahmad Bhat. Blockchain and Machine Learning InnovationsSignals and Communication Technology 2025; : 187 doi: 10.1007/978-3-031-88095-7_10
13
Irene Zammarchi, Olga Maria Nardone, Rosanna Cannatelli, Subrata Ghosh, Chiara Ricci, Marietta Iacucci. AI-powered intestinal ultrasound in inflammatory bowel disease: Advancing toward automated disease assessmentCurrent Opinion in Pharmacology 2026; 86: 102598 doi: 10.1016/j.coph.2025.102598
14
Susan Helser, Mark Hwang. AI and Big Data: Synergies and Cybersecurity Challenges in Key SectorsIEEE Transactions on Technology and Society 2025; 6(1): 54 doi: 10.1109/TTS.2024.3465935
15
Abhimati Ravikulan, Kamran Rostami. Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma: A step towards precision medicineWorld Journal of Gastroenterology 2024; 30(5): 424-428 doi: 10.3748/wjg.v30.i5.424
16
Zhina Mohamadi, Ahmad Shafizadeh, Yasaman Aliyan, Seyedeh Fatemeh Shayesteh, Parsa Goudarzi, Alireza Khodabandeh, Amirali Vaghari, Helma Ashrafi, Omid Bahrami, Armin ZarinKhat, Yalda Khodabandeh, Kimia Pouyan. The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic reviewFrontiers in Artificial Intelligence 2025; 8 doi: 10.3389/frai.2025.1517670
17
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative reviewArtificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117
18
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
19
Marcos Mucenic, Ajacio Bandeira de Mello Brandão, Claudio Augusto Marroni. Artificial intelligence and human liver allocation: Potential benefits and ethical implicationsArtificial Intelligence in Gastroenterology 2022; 3(1): 21-27 doi: 10.35712/aig.v3.i1.21
20
Darshan M R, Devdarshan J, G Akshay, Prema N S. Early Detection of Hepatitis C Using a Hybrid Predictive Model Integrating SVM, Random Forest, and Gradient Boosting2025 5th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) 2025; : 1 doi: 10.1109/ICERECT65215.2025.11376231
21
Sameena Pathan, Alen Shahini, Massimo Salvi, Tanweer Ali, Jovita Relasha Lewis, Filippo Molinari, U. Rajendra Acharya. Artificial Intelligence in Gastrointestinal Disease Diagnosis: A Systematic Review of Endoscopy, Histology, and Radiology ApplicationsWIREs Data Mining and Knowledge Discovery 2026; 16(1) doi: 10.1002/widm.70074
22
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 ForumJournal of Gastroenterology 2023; 58(2): 79 doi: 10.1007/s00535-022-01932-1
23
Pawan Whig, Balaram Yadav Kasula, Nikhitha Yathiraju, Imran Ahmed Khan, Amrita Rai, Md RashId Mahmood. Convergence of Artificial Intelligence, Machine Learning, and the Internet of Things in Industry 4.0 ApplicationsTransactions on Computer Systems and Networks 2025; : 45 doi: 10.1007/978-981-96-5269-3_3
24
James H. Lewis. Digitizing DILI: Who can? RUCAM? RECAM?Hepatology 2022; 76(1): 3 doi: 10.1002/hep.32312
25
Jamal Alshorman, Mohammad Javad Mehran, Yadollah Bahrami, Sara Mohammadzadeh, Rambod Barzigar, Mahdi Morshedi, Khawaja Husnain Haider, Kingsley Miyanda Tembo, Shan-Jie Rong, Nasir Jadgal, Ruba Altahla, Mansoor Bolideei, Yongping Wang. Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseasesClinical and Experimental Medicine 2026;  doi: 10.1007/s10238-026-02107-5
26
Peter Wadie, Bishoy Zakher, Khalid Elgazzar, Abdulhamid Alsbakhi, Abdul-Mohsen G. Alhejaily. Artificial Intelligence in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability (Preprint)JMIR AI 2025;  doi: 10.2196/80928
27
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology EnterpriseJournal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
28
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 UpdateCancers 2023; 15(3): 708 doi: 10.3390/cancers15030708
29
Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias. AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning TechniquesIEEE Access 2024; 12: 163764 doi: 10.1109/ACCESS.2024.3483432
30
Shaomin Xu, Jintian Chen, Zhaoyu Yang, Zixian Su, Mengzui Di, Sifang Long, Hongjian Lin, Lijuan Xie, Jinming Pan. Metabolomics-enabled infrared spectral fingerprinting of allantoic fluid for chicken embryo sex determinationInformation Processing in Agriculture 2026;  doi: 10.1016/j.inpa.2026.02.009
31
Chrysanthos D. Christou, Angelos C. Mitsas, Ioannis Vlachavas, Georgios Tsoulfas. The Use of Machine Learning in MicroRNA Diagnostics: Current PerspectivesMicroRNA 2022; 11(3): 175 doi: 10.2174/2211536611666220818145553
32
Abdulqadir J. Nashwan, Ahmad A. Abujaber, Hassan Choudry. Embracing the future of physician-patient communication: GPT-4 in gastroenterologyGastroenterology & Endoscopy 2023; 1(3): 132 doi: 10.1016/j.gande.2023.07.004
33
Albert E. Jergens, Romy M. Heilmann. Canine chronic enteropathy—Current state-of-the-art and emerging conceptsFrontiers in Veterinary Science 2022; 9 doi: 10.3389/fvets.2022.923013
34
Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres, Jorge Mateo. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challengesWorld Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834
35
Siddhartha Kapuria, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi, Maryam E. Rettmann, Jeffrey H. Siewerdsen. Addressing biases in gastric cancer diagnosis through generative models and vision-based surface tactile sensingMedical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling 2025; : 35 doi: 10.1117/12.3047015
36
Azra Rasouli Kenari, Hossein Rabbani. Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNsScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-21031-4
37
Marco Bustamante-Balén. Role of CADx in colonoscopy: lessons from real-life studiesBest Practice & Research Clinical Gastroenterology 2026; 80: 102020 doi: 10.1016/j.bpg.2025.102020
38
Zahra Akbari Heydarabadi, Seyedeh Somayeh Naghibi. Diagnosing Thyroid-associated Ophthalmopathy with AI Algorithms Based on Facial Images: a Review2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP) 2024; : 1 doi: 10.1109/AISP61396.2024.10475288
39
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 ReviewDiagnostics 2023; 13(10): 1799 doi: 10.3390/diagnostics13101799
40
Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi. Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024; : 2360 doi: 10.1109/IROS58592.2024.10802585
41
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 medicineFrontiers in Pharmacology 2022; 13 doi: 10.3389/fphar.2022.1079566
42
Thomas R. McCarty, Raj Shah, Ronan P. Allencherril, Nabeel Moon, Basile Njei. The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary StricturesJournal of Clinical Gastroenterology 2025;  doi: 10.1097/MCG.0000000000002148
43
Chrysanthos D Christou, Olga Sitsiani, Panagiotis Boutos, Georgios Katsanos, Georgios Papadakis, Anastasios Tefas, Vassilios Papalois, Georgios Tsoulfas. Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantationWorld Journal of Transplantation 2025; 15(3): 103536 doi: 10.5500/wjt.v15.i3.103536
44
Nina DeFranco Tommarello, Rebecca A. Deek. The Convergence of the Internet of Things and Artificial Intelligence in Medicine: Assessing the Benefits, Challenges, and RisksComputer 2024; 57(2): 95 doi: 10.1109/MC.2023.3321188
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Tayana Soukup, Bernarda Zamora-Talaya, Shayan Bahadori, Rosario Luxardo, Patrick Kierkegaard, Omar Butt, Hannah Kettley-Linsell, Katerina-Vanessa Savva, Massimo Micocci, Shanshan Zhou, Simon Newman, Simon Walne, Christopher J. Peters, Adam Gordon, Melody Ni, Peter Buckle, George B. Hanna. Defining the value proposition in diagnostic technology: challenges and opportunities for its understanding and development – a review with a multiperspective reflective analysisFrontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1498618