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Cited by in CrossRef
For: Cao JS, Lu ZY, Chen MY, Zhang B, Juengpanich S, Hu JH, Li SJ, Topatana W, Zhou XY, Feng X, Shen JL, Liu Y, Cai XJ. Artificial intelligence in gastroenterology and hepatology: Status and challenges. World J Gastroenterol 2021; 27(16): 1664-1690 [PMID: 33967550 DOI: 10.3748/wjg.v27.i16.1664]
URL: https://www.wjgnet.com/1007-9327/full/v27/i16/1664.htm
Number Citing Articles
1
Anat Hershko-Moshe, Yaako’v Hasin, Anat Nevo-Shor, Ohad Etzion, Yaron Ilan, Soe Thiha Maung. Improving the Treatment Response of Patients with Irritable Bowel Syndrome: Implementing a Second-Generation Artificial Intelligence System for Overcoming ResistanceGastroHep 2022; 2022: 1 doi: 10.1155/2022/1192547
2
A. Subaveerapandiyan, Dalitso Mvula, Naved Ahmad, Amreen Taj, Mohammed Gulzar Ahmed. Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practiceJournal of Health Organization and Management 2024;  doi: 10.1108/JHOM-04-2024-0154
3
Tahereh Saheb, Tayebeh Saheb, David O. Carpenter. Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysisComputers in Biology and Medicine 2021; 135: 104660 doi: 10.1016/j.compbiomed.2021.104660
4
Bo Zhang, Huiping Shi, Hongtao Wang. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical ApproachJournal of Multidisciplinary Healthcare 2023; : 1779 doi: 10.2147/JMDH.S410301
5
Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases2023; : 109 doi: 10.1016/B978-0-323-99136-0.00015-5
6
João Afonso, Miguel Martins, João Ferreira, Miguel Mascarenhas. Artificial Intelligence in Capsule Endoscopy2023; : 1 doi: 10.1016/B978-0-323-99647-1.00003-4
7
Jiaona Xu, Yuting Meng, Kefan Qiu, Win Topatana, Shijie Li, Chao Wei, Tianwen Chen, Mingyu Chen, Zhongxiang Ding, Guozhong Niu. Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future ChallengesFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.892056
8
Miguel Mascarenhas, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, Francisco Mendes, Hélder Cardoso, Rute Almeida, João Ferreira, João Fonseca, Guilherme Macedo. Software as a Medical Device (SaMD) in Digestive Healthcare: Regulatory Challenges and Ethical ImplicationsDiagnostics 2024; 14(18): 2100 doi: 10.3390/diagnostics14182100
9
Michael G. Kantrowitz. Medical malpractice and gastrointestinal endoscopyCurrent Opinion in Gastroenterology 2022;  doi: 10.1097/MOG.0000000000000863
10
Feifei Lu, Yao Meng, Xiaoting Song, Xiaotong Li, Zhuang Liu, Chunru Gu, Xiaojie Zheng, Yi Jing, Wei Cai, Kanokwan Pinyopornpanish, Andrea Mancuso, Fernando Gomes Romeiro, Nahum Méndez-Sánchez, Xingshun Qi. Artificial Intelligence in Liver Diseases: Recent AdvancesAdvances in Therapy 2024; 41(3): 967 doi: 10.1007/s12325-024-02781-5
11
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
12
Ming‐Ying Lu, Wan‐Long Chuang, Ming‐Lung Yu. The role of artificial intelligence in the management of liver diseasesThe Kaohsiung Journal of Medical Sciences 2024; 40(11): 962 doi: 10.1002/kjm2.12901
13
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
14
Neelankit Gautam Goswami, Shreyas Karnad, Niranjana Sampathila, G. Muralidhar Bairy, Krishnaraj Chadaga, K. S. Swathi. Current trends of artificial intelligence and applications in digital pathology: A comprehensive reviewInternational Journal of ADVANCED AND APPLIED SCIENCES 2023; 10(12): 29 doi: 10.21833/ijaas.2023.12.004
15
Zihua Lu, Youming Xu, Liwen Yao, Wei Zhou, Wei Gong, Genhua Yang, Mingwen Guo, Beiping Zhang, Xu Huang, Chunping He, Rui Zhou, Yunchao Deng, Honggang Yu. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)Gastrointestinal Endoscopy 2022; 95(6): 1186 doi: 10.1016/j.gie.2021.11.049
16
Ludovico Abenavoli, Marcello Candelli. Recent Advances and Future Challenges in the Field of Digestive DiseasesMedicina 2023; 59(2): 208 doi: 10.3390/medicina59020208
17
Abdulfattah S. Alqahtani. A Review of the Scope, Future, and Effectiveness of Using Artificial Intelligence in Cardiac Rehabilitation: A Call to Action for the Kingdom of Saudi ArabiaApplied Artificial Intelligence 2023; 37(1) doi: 10.1080/08839514.2023.2175111
18
Dushyant Singh Dahiya, Mohammad Al-Haddad, Saurabh Chandan, Manesh Kumar Gangwani, Muhammad Aziz, Babu P. Mohan, Daryl Ramai, Andrew Canakis, Jay Bapaye, Neil Sharma. Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail?Journal of Clinical Medicine 2022; 11(24): 7476 doi: 10.3390/jcm11247476
19
Jan de Laffolie. Digitale Medizin in der Gastroenterologie - was ist sinnvoll und was nicht?Gastro-News 2025; 12(1): 40 doi: 10.1007/s15036-025-3823-z
20
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
21
Rakib Hasan, Moddassir Khan Nayeem, P. Santhiya, Amrit Das. Decision Making Under Uncertainty Via Optimization, Modelling, and AnalysisStudies in Systems, Decision and Control 2025; 558: 427 doi: 10.1007/978-981-96-0085-4_22