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Cited by in CrossRef
For: Kröner PT, Engels MM, Glicksberg BS, Johnson KW, Mzaik O, van Hooft JE, Wallace MB, El-Serag HB, Krittanawong C. Artificial intelligence in gastroenterology: A state-of-the-art review. World J Gastroenterol 2021; 27(40): 6794-6824 [PMID: 34790008 DOI: 10.3748/wjg.v27.i40.6794]
URL: https://www.wjgnet.com/1948-5190/full/v27/i40/6794.htm
Number Citing Articles
1
Gennaro Tagliamonte, Fabrizio Santagata, Mirella Fraquelli. Current Developments and Role of Intestinal Ultrasound including the Advent of AIDiagnostics 2024; 14(7): 759 doi: 10.3390/diagnostics14070759
2
Guoxiang Xie, Huanming Xiao, Quan Liu, Tianlu Chen, Fengyan Chen, Kejun Zhou, Xiaoning Wang, Ping Liu, Zhifeng Jia, Lei Chen, Xin Deng, Fankun Meng, Zhenhua Zhang, Xiaoling Chi, Wei Jia. LiveBoost: A GB-based prediction system for liver fibrosis in chronic hepatitis B patients in China - A multi-center retrospective studyHeliyon 2024; 10(2): e24161 doi: 10.1016/j.heliyon.2024.e24161
3
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology2023; : 49 doi: 10.1007/978-3-031-21506-3_3
4
Noppawit Aiumtrakul, Charat Thongprayoon, Chinnawat Arayangkool, Kristine B. Vo, Chalothorn Wannaphut, Supawadee Suppadungsuk, Pajaree Krisanapan, Oscar A. Garcia Valencia, Fawad Qureshi, Jing Miao, Wisit Cheungpasitporn. Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone PreventionJournal of Personalized Medicine 2024; 14(1): 107 doi: 10.3390/jpm14010107
5
Wilson WB Goh, Kendrick YA Chia, Max FK Cheung, Kalya M Kee, May O Lwin, Peter J Schulz, Minhu Chen, Kaichun Wu, Simon SM Ng, Rashid Lui, Tiing Leong Ang, Khay Guan Yeoh, Han-mo Chiu, Deng-chyang Wu, Joseph JY Sung. Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey StudyJMIR AI 2024; 3: e50525 doi: 10.2196/50525
6
Xin-Lei Yang, Dong-He Ni, Yang Yu, Jin-Cui Zhao, Rui Lin, Chao Xiu, Zhe-Xing Chang. Value of magnetic resonance imaging radiomics features in predicting histologic grade of invasive ductal carcinoma of the breastTechnology and Health Care 2024; : 1 doi: 10.3233/THC-230671
7
Wenly Ruan, Priya Narula, Douglas S. Fishman. Upskilling Pediatric IleocolonoscopyGastrointestinal Endoscopy Clinics of North America 2023; 33(2): 253 doi: 10.1016/j.giec.2022.11.006
8
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
9
Shreya Reddy, Avneet Shaheed, Yui Seo, Rakesh Patel. Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology SlidesCureus 2024;  doi: 10.7759/cureus.56740
10
Anish Gupta, Apeksha Koul, Yogesh Kumar. Pancreatic Cancer Detection using Machine and Deep Learning Techniques2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) 2022; : 151 doi: 10.1109/ICIPTM54933.2022.9754010
11
Usman Ahmad Usmani, Ari Happonen, Junzo Watada, Jayden Khakurel. Proceedings of Eighth International Congress on Information and Communication TechnologyLecture Notes in Networks and Systems 2023; 694: 1085 doi: 10.1007/978-981-99-3091-3_89
12
Alan N Barkun, Daniel von Renteln, Hamid Sadri. Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer ScreeningJournal of the Canadian Association of Gastroenterology 2023; 6(3): 97 doi: 10.1093/jcag/gwad014
13
Diego Lopez-Bernal, David Balderas, Pedro Ponce, Mario Rojas, Arturo Molina. Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A ReviewLife 2023; 13(4): 1031 doi: 10.3390/life13041031
14
Joseph J.Y. Sung. Artificial Intelligence in Medicine2024; : 1 doi: 10.1016/B978-0-323-95068-8.00001-7
15
C. Robles-Medranda, C. Cifuentes-Gordillo, M. Arevalo-Mora, M. Egas-Izquierdo, M. Puga-Tejada, D. Cunto, J. Alcivar-Vasquez, R. Del Valle, H. Alvarado-Escobar, H. Pitanga-Lukashok, J. Baquerizo-Burgos, D. Tabacelia. Real-Time Computer-Aided Polyp and Adenoma Detection During Screening Colonoscopy In Expert And Non-Expert Endoscopists: A Single Center StudyESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765620
16
Jonathan S. Galati, Kevin Lin, Seth A. Gross. Recent advances in devices and technologies that might prove revolutionary for colonoscopy proceduresExpert Review of Medical Devices 2023; 20(12): 1087 doi: 10.1080/17434440.2023.2280773
17
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopySeminars in Colon and Rectal Surgery 2024; 35(1): 101007 doi: 10.1016/j.scrs.2024.101007
18
Aaron R Brenner, Passisd Laoveeravat, Patrick J Carey, Danielle Joiner, Samuel H Mardini, Manol Jovani. Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future directionArtificial Intelligence in Gastroenterology 2022; 3(3): 88-95 doi: 10.35712/aig.v3.i3.88
19
Peng An, Zhongqiu Wang. Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary studyWiener Medizinische Wochenschrift 2023;  doi: 10.1007/s10354-023-01020-w
20
George Peek, Sharona B. Ross. The future implementation of artificial intelligence technology in esophageal surgeryArtificial Intelligence Surgery 2023; 3(4): 249 doi: 10.20517/ais.2023.56
21
Chin Hock Nicholas Tee, Rajesh Ravi, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in Barrett’s esophagusArtificial Intelligence in Gastroenterology 2023; 4(2): 28-35 doi: 10.35712/aig.v4.i2.28
22
Peter Stawinski, Karolina Dziadkowiec, Lily Kuo, Juan Echavarria, Shreyas Saligram. Barrett’s Esophagus: An Updated ReviewDiagnostics 2023; 13(2): 321 doi: 10.3390/diagnostics13020321
23
Giulia Pacella, Maria Chiara Brunese, Eleonora D’Imperio, Marco Rotondo, Andrea Scacchi, Mattia Carbone, Germano Guerra. Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability Status and PrognosisJournal of Clinical Medicine 2023; 12(23): 7380 doi: 10.3390/jcm12237380
24
Inna Novak, Lee M. Bass. Gastrointestinal Bleeding in ChildrenGastrointestinal Endoscopy Clinics of North America 2023; 33(2): 401 doi: 10.1016/j.giec.2022.11.003
25
Peng-yue Zhao, Ke Han, Ren-qi Yao, Chao Ren, Xiao-hui Du. Application Status and Prospects of Artificial Intelligence in Peptic UlcersFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.894775
26
Srinadh Komanduri, Amrita Sethi, V. Raman Muthusamy. Future Implications of Innovation in Gastroenterology for Clinical Practice: A Call to ActionAmerican Journal of Gastroenterology 2023; 118(8): 1307 doi: 10.14309/ajg.0000000000002194
27
Rajmohan Rammohan, Melvin V Joy, Sai Greeshma Magam, Dilman Natt, Sai Reshma Magam, Leeza Pannikodu, Jiten Desai, Olawale Akande, Susan Bunting, Robert M Yost, Paul Mustacchia. Understanding the Landscape: The Emergence of Artificial Intelligence (AI), ChatGPT, and Google Bard in GastroenterologyCureus 2024;  doi: 10.7759/cureus.51848
28
Nabil M. Mansour. Artificial Intelligence in ColonoscopyCurrent Gastroenterology Reports 2023; 25(6): 122 doi: 10.1007/s11894-023-00872-x
29
Leanne M. Williams, William T. Carpenter, Carrie Carretta, Evangelos Papanastasiou, Uma Vaidyanathan. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practiceCNS Spectrums 2024; 29(1): 26 doi: 10.1017/S1092852923002420
30
Vincenzo Positano, Antonella Meloni, Maria Filomena Santarelli, Laura Pistoia, Anna Spasiano, Liana Cuccia, Tommaso Casini, Maria Rita Gamberini, Massimo Allò, Pier Paolo Bitti, Alessia Pepe, Filippo Cademartiri. Deep Learning Staging of Liver Iron Content From Multiecho MR ImagesJournal of Magnetic Resonance Imaging 2023; 57(2): 472 doi: 10.1002/jmri.28300
31
Yanhong Hou, Lin Zhang, Xiaofei Chen, Yujing Wang, Tong Jiang, Qinjiazi Qi, Chuanxiao Zhang, Chao Shi. Study on brain function of the frontal lobe in patients with functional gastroduodenal disease by near-infrared functional imagingBiomedicine & Pharmacotherapy 2023; 158: 114182 doi: 10.1016/j.biopha.2022.114182
32
Peter J. Schulz, May O. Lwin, Kalya M. Kee, Wilson W. B. Goh, Thomas Y. T Lam, Joseph J. Y. Sung. Modeling the influence of attitudes, trust, and beliefs on endoscopists’ acceptance of artificial intelligence applications in medical practiceFrontiers in Public Health 2023; 11 doi: 10.3389/fpubh.2023.1301563
33
Ji-Qing Zhu, Mei-Ling Wang, Ying Li, Wei Zhang, Li-Juan Li, Lin Liu, Yan Zhang, Cai-Juan Han, Cheng-Wei Tie, Shi-Xu Wang, Guiqi Wang, Xiao-Guang Ni. Convolutional Neural Network Based Anatomical Site Identification for Laryngoscopy Quality Control: A Multicenter StudySSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4188558
34
Thomas Bjørsum-Meyer, Anastasios Koulaouzidis, Gunnar Baatrup. Comment on “Artificial intelligence in gastroenterology: A state-of-the-art review”World Journal of Gastroenterology 2022; 28(16): 1722-1724 doi: 10.3748/wjg.v28.i16.1722
35
Byung Soo Yoo, Kevin V Houston, Steve M D'Souza, Alsiddig Elmahdi, Isaac Davis, Ana Vilela, Parth J Parekh, David A Johnson. Advances and horizons for artificial intelligence of endoscopic screening and surveillance of gastric and esophageal diseaseArtificial Intelligence in Medical Imaging 2022; 3(3): 70-86 doi: 10.35711/aimi.v3.i3.70
36
Nisha Ganesh, Stephen B Hanauer, Parambir S Dulai. The importance of predicting patient responses to monoclonal antibodies for Crohn’s diseaseExpert Opinion on Biological Therapy 2023; 23(10): 941 doi: 10.1080/14712598.2023.2252339
37
Mentore Ribolsi, Gianluca Andrisani, Francesco Maria Di Matteo, Michele Cicala. Achalasia, from diagnosis to treatmentExpert Review of Gastroenterology & Hepatology 2023; 17(1): 21 doi: 10.1080/17474124.2022.2163236
38
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
39
Diana Gina Poalelungi, Carmina Liana Musat, Ana Fulga, Marius Neagu, Anca Iulia Neagu, Alin Ionut Piraianu, Iuliu Fulga. Advancing Patient Care: How Artificial Intelligence Is Transforming HealthcareJournal of Personalized Medicine 2023; 13(8): 1214 doi: 10.3390/jpm13081214
40
Madalina Stan-Ilie, Vasile Sandru, Gabriel Constantinescu, Oana-Mihaela Plotogea, Ecaterina Mihaela Rinja, Iulia Florentina Tincu, Alexandra Jichitu, Adriana Elena Carasel, Andreea Cristina Butuc, Bogdan Popa. Artificial Intelligence—The Rising Star in the Field of Gastroenterology and HepatologyDiagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
41
Alberto Savino, Emanuele Rondonotti, Simone Rocchetto, Alessandra Piagnani, Niccolò Bina, Pasquale Di Domenico, Francesco Segatta, Franco Radaelli. GI genius endoscopy module: a clinical profileExpert Review of Medical Devices 2024; : 1 doi: 10.1080/17434440.2024.2342508
42
Sonja Skiljic, Dino Budrovac, Ana Cicvaric, Nenad Neskovic, Slavica Kvolik. Advances in Analgosedation and Periprocedural Care for Gastrointestinal EndoscopyLife 2023; 13(2): 473 doi: 10.3390/life13020473
43
Ji-Qing Zhu, Mei-Ling Wang, Ying Li, Wei Zhang, Li-Juan Li, Lin Liu, Yan Zhang, Cai-Juan Han, Cheng-Wei Tie, Shi-Xu Wang, Gui-Qi Wang, Xiao-Guang Ni. Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter studyAmerican Journal of Otolaryngology 2023; 44(2): 103695 doi: 10.1016/j.amjoto.2022.103695
44
Antonio Giordano, Miriam Escapa, Miquel Urpí-Ferreruela, Gherzon Casanova, Gloria Fernández-Esparrach, Àngels Ginès, Josep Llach, Begoña González-Suárez. Diagnostic accuracy of artificial intelligence-aided capsule endoscopy (TOP100) in overt small bowel bleedingSurgical Endoscopy 2023; 37(10): 7658 doi: 10.1007/s00464-023-10273-w
45
Georgios Zacharakis, Abdulaziz Almasoud. Using of artificial intelligence: Current and future applications in colorectal cancer screeningWorld Journal of Gastroenterology 2022; 28(24): 2778-2781 doi: 10.3748/wjg.v28.i24.2778
46
Alin-Ionut Piraianu, Ana Fulga, Carmina Liana Musat, Oana-Roxana Ciobotaru, Diana Gina Poalelungi, Elena Stamate, Octavian Ciobotaru, Iuliu Fulga. Enhancing the Evidence with Algorithms: How Artificial Intelligence Is Transforming Forensic MedicineDiagnostics 2023; 13(18): 2992 doi: 10.3390/diagnostics13182992
47
T. A. Sadulaeva, L. A. Edilgireeva, M. B. Bimurzaeva, A. O. Morozov. Use of artificial intelligence in diagnostic cystoscopy of bladder cancerCancer Urology 2023; 19(2): 146 doi: 10.17650/1726-9776-2023-19-2-148-152
48
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
49
Victoria S. Jiang, Zoran J. Pavlovic, Eduardo Hariton. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive TechnologiesObstetrics and Gynecology Clinics of North America 2023; 50(4): 747 doi: 10.1016/j.ogc.2023.09.003