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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/1007-9327/full/v27/i40/6794.htm
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Number Citing Articles
1
Gennaro Tagliamonte, Fabrizio Santagata, Mirella Fraquelli. Current Developments and Role of Intestinal Ultrasound including the Advent of AI. Diagnostics 2024; 14(7) doi: 10.3390/diagnostics14070759
2
Suqi Zeng, Chenyu Dong, Chuan Liu, Junhai Zhen, Yu Pu, Jiaming Hu, Weiguo Dong. The global research of artificial intelligence on inflammatory bowel disease: A bibliometric analysis. DIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251326217
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Kevin P. Shah, Terrance J. Rodrigues, Rajesh N. Keswani. Innovations in Advanced Endoscopy Training: Enhancing Skill Acquisition and Performance. Techniques and Innovations in Gastrointestinal Endoscopy 2026; 28(2) doi: 10.1016/j.tige.2026.250966
4
Xiaohan Cai, Zexin Zhang, Siqi Zhao, Wentian Liu, Xiaofei Fan. Application of Explainable Artificial Intelligence Based on Visual Explanation in Digestive Endoscopy. Bioengineering 2025; 12(10) doi: 10.3390/bioengineering12101058
5
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 Prevention. Journal of Personalized Medicine 2024; 14(1) doi: 10.3390/jpm14010107
6
Ludovico Abenavoli, Felice Imoletti, Giuseppe Quero, Valentina Bottino, Viviana Facciolo, Giuseppe Guido Maria Scarlata, Francesco Luzza, Domenico Laganà. The Diagnosis of Wilkie’s Syndrome Associated with Nutcracker Syndrome: A Case Report and Literature Review. Diagnostics 2024; 14(17) doi: 10.3390/diagnostics14171844
7
Anvesha Garg, Sumeet Kaur, G.Arun Francis, Noopur Pandey, M. Kulandhaivel, Shruthi K Bekal. Machine Learning's Impact on Advancing Gastrointestinal Diagnosis and Therapeutic Approaches. 2025 International Conference on Electrical Engineering and Informatics (ICEEI) 2025;  doi: 10.1109/ICEEI68459.2025.11330922
8
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 breast. Technology and Health Care 2024; 32(3) doi: 10.3233/THC-230671
9
Rocio Sedano, Virginia Solitano, Sudheer K. Vuyyuru, Yuhong Yuan, Jurij Hanžel, Christopher Ma, Olga Maria Nardone, Vipul Jairath. Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review. Therapeutic Advances in Gastroenterology 2025; 18 doi: 10.1177/17562848251321915
10
Ibrahim Sevki Bayrakdar, Alican Kuran, Ozer Celik, Kaan Orhan. AI in Temporomandibular Joint Imaging. Neuroimaging Clinics of North America 2025; 35(4) doi: 10.1016/j.nic.2025.06.001
11
Dennis Yang, Maham Hayat, Peter V. Draganov. Training in Advanced Endoscopy: Current Methods, Challenges, and Emerging Innovations. Techniques and Innovations in Gastrointestinal Endoscopy 2026; 28(2) doi: 10.1016/j.tige.2025.250958
12
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) doi: 10.3390/cancers15030708
13
Angelica Toppeta, Mattia Corradi, Beatrice Mantia, Adelaide Maria Randazzo, Mario Schettino, Stefania De Lisi, Alessandra Dell’Era, Stefania Carmagnola, Raffaele Salerno. Artificial Intelligence vs Human Clinicians in Esophagogastroduodenoscopy Appropriateness: A Comparative Study Using Clinical Vignettes. American Journal of Gastroenterology 2026; 121(4) doi: 10.14309/ajg.0000000000003837
14
Anish Gupta, Apeksha Koul, Yogesh Kumar. Pancreatic Cancer Detection using Machine and Deep Learning Techniques. 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) 2022;  doi: 10.1109/ICIPTM54933.2022.9754010
15
Usman Ahmad Usmani, Ari Happonen, Junzo Watada, Jayden Khakurel. Proceedings of Eighth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems 2023; 694 doi: 10.1007/978-981-99-3091-3_89
16
Jie Zhang, Adrian Dawkins. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?. Ultrasound Quarterly 2024; 40(2) doi: 10.1097/RUQ.0000000000000680
17
Kalya M. Kee, Peter J. Schulz, Joseph J. Y. Sung. The Impact of Artificial Intelligence on Societies. Studies in Neuroscience, Psychology and Behavioral Economics 2025;  doi: 10.1007/978-3-031-70355-3_6
18
Joseph J.Y. Sung. Artificial Intelligence in Medicine. 2024;  doi: 10.1016/B978-0-323-95068-8.00001-7
19
Gurkamal Singh Nijjar, Smriti Kaur Aulakh, Rajinderpal Singh, Sohbat Kaur Chandi. Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive Overview. Cureus 2024;  doi: 10.7759/cureus.62946
20
Antonietta Gerarda Gravina, Raffaele Pellegrino, Giuseppe Imperio, Michele Izzo, Ilaria De Costanzo, Fabio Landa, Stefano Pellegrino, Alessandro Federico. Evaluation of the Mayo endoscopic score in ulcerative colitis using a multimodal large language model: a human-blinded accuracy study. Intestinal Research 2026;  doi: 10.5217/ir.2025.00138
21
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 Study. Endoscopy 2023; 55(S 02) doi: 10.1055/s-0043-1765620
22
M. S. Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S. Gowda, Sahana Patil. Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects. Journal of Medical Signals & Sensors 2024; 14(9) doi: 10.4103/jmss.jmss_7_24
23
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 direction. Artificial Intelligence in Gastroenterology 2022; 3(3): 88-95 doi: 10.35712/aig.v3.i3.88
24
Vlad Dumitru Brata, Victor Incze, Abdulrahman Ismaiel, Daria Claudia Turtoi, Simona Grad, Raluca Popovici, Traian Adrian Duse, Teodora Surdea-Blaga, Alexandru Marius Padureanu, Liliana David, Miruna Oana Dita, Corina Alexandrina Baldea, Stefan Lucian Popa. Applications of Artificial Intelligence-Based Systems in the Management of Esophageal Varices. Journal of Personalized Medicine 2024; 14(9) doi: 10.3390/jpm14091012
25
K. O. Vasilyev, V. V. Rerikh, E. A. Ugolnikova. The capabilities of artificial intelligence in segmentation and detection of spinal images at the current stage of development: a systematic review. Diagnostic radiology and radiotherapy 2025; 16(1) doi: 10.22328/2079-5343-2025-16-1-7-18
26
Himesh B. Zaver, Daniyal Abbas, Prateek S. Harne. Cracking the Code: A Practical Guide to Publishing in the ACG Case Reports Journal. ACG Case Reports Journal 2025; 12(7) doi: 10.14309/crj.0000000000001747
27
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 study. Wiener Medizinische Wochenschrift 2024; 174(9-10) doi: 10.1007/s10354-023-01020-w
28
Alana Thibodeau-Antonacci, Aurélie Garant, Corey Miller, Té Vuong, Luca Leon Weishaupt, Philippe Nicolaï, Shirin A. Enger. Deep learning-based automatic segmentation of rectal tumors in endoscopic images. Brachytherapy 2026;  doi: 10.1016/j.brachy.2026.04.013
29
Sasidhar Alavala, Subrahmanyam Gorthi. Certainty in Uncertainty! An Improved GI Bleeding Detection Pipeline with Uncertainty Estimation. Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing 2024;  doi: 10.1145/3702250.3702271
30
Guido Muharremi, Visar Vela, Philippe Vielh, Taulant Muka. Evidence‐Based Cytopathology: A Call for Implementation. Cytopathology 2026; 37(1) doi: 10.1111/cyt.70024
31
Peng-yue Zhao, Ke Han, Ren-qi Yao, Chao Ren, Xiao-hui Du. Application Status and Prospects of Artificial Intelligence in Peptic Ulcers. Frontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.894775
32
Panagiotis Doukas, Sotirios Doukas, Arkady Broder. The role of AI models in enhancing choledocholithiasis diagnosis: A systematic review and meta‑analysis. Experimental and Therapeutic Medicine 2025; 30(6) doi: 10.3892/etm.2025.12971
33
Gianluca Montanari Vergallo, Laura Leondina Campanozzi, Matteo Gulino, Lorena Bassis, Pasquale Ricci, Simona Zaami, Susanna Marinelli, Vittoradolfo Tambone, Paola Frati. How Could Artificial Intelligence Change the Doctor–Patient Relationship? A Medical Ethics Perspective. Healthcare 2025; 13(18) doi: 10.3390/healthcare13182340
34
Rippan N. Shukla, Richard Woodman, Jennifer C. Myers, David I. Watson, Tim Bright, Sarah K. Thompson. Application of machine learning models to identify predictors of good outcome after laparoscopic fundoplication. Journal of Gastrointestinal Surgery 2025; 29(5) doi: 10.1016/j.gassur.2025.102029
35
Leanne M. Williams, William T. Carpenter, Carrie Carretta, Evangelos Papanastasiou, Uma Vaidyanathan. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practice. CNS Spectrums 2024; 29(1) doi: 10.1017/S1092852923002420
36
Mircea Mănuc, Cătălin-Andrei Duței, Teodora-Ecaterina Mănuc, Andreea-Elena Chifulescu, Florin Andrei Grama. Could artificial intelligence-powered colonoscopies change the future of colorectal cancer screening?. World Journal of Gastroenterology 2025; 31(42): 111291 doi: 10.3748/wjg.v31.i42.111291
37
Aasma Shaukat, David R. Lichtenstein, Daniel C. Chung, Caitlyn Seidl, Yeli Wang, Emma E. Navajas, Daniel R. Colucci, Shrujal Baxi, William R. Brugge. Patient and procedural factors associated with true histology rates in patients undergoing colonoscopy with computer-aided detection of polyps. Gastrointestinal Endoscopy 2024; 100(6) doi: 10.1016/j.gie.2024.06.040
38
Nunzia Labarile, Alessandro Vitello, Emanuele Sinagra, Olga Maria Nardone, Giulio Calabrese, Federico Bonomo, Marcello Maida, Marietta Iacucci. Artificial Intelligence in Advancing Inflammatory Bowel Disease Management: Setting New Standards. Cancers 2025; 17(14) doi: 10.3390/cancers17142337
39
Francesca Lusetti, Roberta Muscia, Ermelinda D’Alessandro, Giuseppe Fierro, Gianpiero Manes, Germana de Nucci. Endoscopic Ultrasound in Squamous Cell Esophageal Cancer: From Staging to Strategy—A Narrative Review. Diagnostics 2025; 15(22) doi: 10.3390/diagnostics15222867
40
Tanzila Kehkashan, Maha Abdelhaq, Ahmad Sami Al-Shamayleh, Muhammad Abdullah, Raja Adil Riaz, Sharifah Sakinah Syed Ahmad, Abdelmuttlib Ibrahim Abdalla Ahmed, Adnan Akhunzada. Gastroenterological disease detection using transformer-based medical imaging for sustainable healthcare. Scientific Reports 2026; 16(1) doi: 10.1038/s41598-026-45222-9
41
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 disease. Artificial Intelligence in Medical Imaging 2022; 3(3): 70-86 doi: 10.35711/aimi.v3.i3.70
42
Kerem Parlar, Mert Cakir, Ozlem Ozer, Prateek Sharma. Future of image enhanced endoscopy of esophageal adenocarcinoma. Clinical Endoscopy 2025; 58(4) doi: 10.5946/ce.2024.324
43
Heng Zhang, Wenru Li, Tao Chen, Ke Deng, Bolin Yang, Jingen Luo, Jiaying Yao, Yuhuan Lin, Juan Li, Xiaochun Meng, Hongcheng Lin, Donglin Ren, Lanlan Li. Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study. eClinicalMedicine 2024; 78 doi: 10.1016/j.eclinm.2024.102940
44
Jiajie Zhou, Wei Song, Yeliu Liu, Xiaoming Yuan. An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning. PeerJ Computer Science 2024; 10 doi: 10.7717/peerj-cs.2059
45
Matheus Machado Rech, Leandro Luis Corso, Elisa Fioreze Dal Bó, Andressa Daiane Ferraza, Fernanda Tomé, Alana Zulian Terres, Rafael Sartori Balbinot, Raul Angelo Balbinot, Silvana Sartori Balbinot, Jonathan Soldera. Development and prospective validation of a machine learning model to predict mortality in cirrhosis with esophageal variceal bleeding. World Journal of Hepatology 2026; 18(2): 111099 doi: 10.4254/wjh.v18.i2.111099
46
Yusuf Karmali. Artificial Intelligence in Healthcare and Biomedical Visualization. Biomedical Visualization 2026; 10 doi: 10.1007/978-3-032-06520-9_10
47
Mentore Ribolsi, Gianluca Andrisani, Francesco Maria Di Matteo, Michele Cicala. Achalasia, from diagnosis to treatment. Expert Review of Gastroenterology & Hepatology 2023; 17(1) doi: 10.1080/17474124.2022.2163236
48
Sergejs Lobanovs, Jekaterina Aleksejeva, Alise Kitija Rūtiņa, Eduards Krustiņš, Jurijs Čižovs, Dmitrijs Bļizņuks. Machine learning in gastrointestinal endoscopy: challenges and opportunities. BMJ Open Gastroenterology 2025; 12(1) doi: 10.1136/bmjgast-2025-001923
49
İzzet Ustaalioğlu, Rohat Ak. Predicting Mortality in Non-Variceal Upper Gastrointestinal Bleeding: Machine Learning Models Versus Conventional Clinical Risk Scores. Journal of Clinical Medicine 2025; 14(20) doi: 10.3390/jcm14207425
50
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 Healthcare. Journal of Personalized Medicine 2023; 13(8) doi: 10.3390/jpm13081214
51
AI Marketing and Ethical Considerations in Consumer Engagement. Advances in Computational Intelligence and Robotics 2025;  doi: 10.4018/979-8-3373-3476-9.ch018
52
Miguel Mascarenhas, Joana Mota, João Rala Cordeiro, Francisco Mendes, Miguel Martins, Pedro Cardoso, Maria João Almeida, Antonio Pinto da Costa, Ismael Hajra Martinez, Virginia Matallana Royo, Benjamin Niland, Jack Di Palma, João Ferreira, Guilherme Macedo, Cecilio Santander. Artificial Intelligence Driven Diagnosis of Motility Patterns in High-Resolution Esophageal Manometry: A Multicentric Multidevice Study. Clinical and Translational Gastroenterology 2025; 16(12) doi: 10.14309/ctg.0000000000000941
53
Kwangbeom Park, Jisup Lim, Seung Hwan Shin, Minkyeong Ryu, Hyungeun Shin, Minyoung Lee, Seung Wook Hong, Sung Wook Hwang, Sang Hyoung Park, Dong‐Hoon Yang, Byong Duk Ye, Seung‐Jae Myung, Suk‐Kyun Yang, Namkug Kim, Jeong‐Sik Byeon. Artificial intelligence‐aided colonoscopic differential diagnosis between Crohn's disease and gastrointestinal tuberculosis. Journal of Gastroenterology and Hepatology 2025; 40(1) doi: 10.1111/jgh.16788
54
Thomas J. Lux, Zita Saßmannshausen, Ioannis Kafetzis, Michael Banck, Adrian Krenzer, Daniel Fitting, Boban Sudarevic, Joel Troya, Wolfgang Boeck, Frank Passek, Tobias Heubach, Benjamin Simonis, Franz J. Heil, Leopold Ludwig, Frank Puppe, Wolfram G. Zoller, Alexander Meining, Alexander Hann. Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled study. npj Digital Medicine 2026; 9(1) doi: 10.1038/s41746-026-02576-8
55
Badri V. Sigua, Sofya V. Kleymyuk, Evgeny A. Zakharov, Evgeniya A. Semenova, Diana D. Loginova, Vyacheslav P. Zemlyanoy. Potentials of Artificial Intelligence in Assessing Pancreatic Pathology Based on Spiral Computed Tomography Findings. Journal of Experimental and Clinical Surgery 2024; 17(4) doi: 10.18499/2070-478X-2024-17-4-209-216
56
Sonja Skiljic, Dino Budrovac, Ana Cicvaric, Nenad Neskovic, Slavica Kvolik. Advances in Analgosedation and Periprocedural Care for Gastrointestinal Endoscopy. Life 2023; 13(2) doi: 10.3390/life13020473
57
Thilagesh P., Anand Kumar S., Aiswarya Nair U., Rabiniraj S., Shobana P., Subramani M., Sriram K.. Artificial Intelligence (AI) and Liquid Biopsy Transforming Early Detection of Liver Metastases in Gastrointestinal Cancers. Current Cancer Drug Targets 2026; 26(3) doi: 10.2174/0115680096331238241125051307
58
Peter J. Schulz, Kalya M. Kee, May O. Lwin, Wilson W. Goh, Kendrick Y. Chia, Max F. K. Cheung, Thomas Y. T. Lam, Joseph J. Y. Sung. Clinical experience and perception of risk affect the acceptance and trust of using AI in medicine. Frontiers in Digital Health 2025; 7 doi: 10.3389/fdgth.2025.1620127
59
Miguel Mascarenhas, Francisco Mendes, João Rala Cordeiro, Joana Mota, Miguel Martins, Maria João Almeida, Catarina Araujo, Joana Frias, Pedro Cardoso, Ismael El Hajra, António Pinto da Costa, Virginia Matallana, Constanza Ciriza de Los Rios, João Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo, Benjamin Niland, Cecilio Santander. Artificial Intelligence and FLIP Panometry—Automated Classification of Esophageal Motility Patterns. Journal of Clinical Medicine 2026; 15(1) doi: 10.3390/jcm15010401
60
Yi Fei Chen, Liu Liu, Bin Lyu, Ye Yang, Si Si Zheng, Xuan Huang, Yi Xu, Yi Hong Fan. Role of artificial intelligence in Crohn's disease intestinal strictures and fibrosis. Journal of Digestive Diseases 2024; 25(8) doi: 10.1111/1751-2980.13308
61
Georgios Zacharakis, Abdulaziz Almasoud. Using of artificial intelligence: Current and future applications in colorectal cancer screening. World Journal of Gastroenterology 2022; 28(24): 2778-2781 doi: 10.3748/wjg.v28.i24.2778
62
Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander. Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-024-83768-8
63
Hareesha Rishab Bharadwaj, Dushyant Singh Dahiya, Priyal Dalal, Muhtasim Fuad, Hafiz Ali Raza, Muhammad Ibrahim, Arkadeep Dhali, Fariha Hasan, Balamrit Singh Sokhal, Karan Yagnik, Bhanu Siva Mohan Pinnam, Farhan Gohar, Hassam Ali. Artificial Intelligence in Population-Level Gastroenterology and Hepatology: A Comprehensive Review of Public Health Applications and Quantitative Impact. Digestive Diseases and Sciences 2026; 71(4) doi: 10.1007/s10620-025-09452-7
64
T. A. Sadulaeva, L. A. Edilgireeva, M. B. Bimurzaeva, A. O. Morozov. Use of artificial intelligence in diagnostic cystoscopy of bladder cancer. Cancer Urology 2023; 19(2) doi: 10.17650/1726-9776-2023-19-2-148-152
65
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
66
Mingbo Bao, Wenjia Liu, Haifeng Shi, Mingzhu Meng, Jian Cao, Palash Mandal. Use of Modified YOLOv5 Algorithm in the Differential Diagnosis of Colonic Crohn’s Disease and Ulcerative Colitis on CTE Images. Gastroenterology Research and Practice 2025; 2025(1) doi: 10.1155/grp/1506567
67
Yagna Mehta, Saumya Mehta, Vishwa Bhayani, Sankalp Parikh, Rajiv Mehta. Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practice. World Journal of Gastroenterology 2025; 31(36): 110549 doi: 10.3748/wjg.v31.i36.110549
68
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 study. Heliyon 2024; 10(2) doi: 10.1016/j.heliyon.2024.e24161
69
Tommaso Pessarelli, Gian Eugenio Tontini, Helmut Neumann. Advanced Endoscopic Imaging for Assessing Mucosal Healing and Histologic Remission in Inflammatory Bowel Diseases. Gastrointestinal Endoscopy Clinics of North America 2025; 35(1) doi: 10.1016/j.giec.2024.04.008
70
Raseen Tariq, Saam Dilmaghani, Rashmi Advani, Ali Soroush, Tyler Berzin, Sahil Khanna. Perception and Understanding of Artificial Intelligence Among Gastroenterology Fellows and Early Career Gastroenterologists: A Nationwide Cross-Sectional Survey Study. Digestive Diseases and Sciences 2025; 70(8) doi: 10.1007/s10620-025-09067-y
71
Matthias Grade, Verena Uslar. Telemedizin und KI-gestützte Diagnostik im Alltag der Viszeralmedizin. Die Chirurgie 2025; 96(1) doi: 10.1007/s00104-024-02213-8
72
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023;  doi: 10.1007/978-3-031-21506-3_3
73
Neil Sood, Subin Chirayath, Janak Bahirwani, Het Patel, Emilie Kim, Naomi Reddy-Patel, Hanxiong Lin, Noel Martins. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2. Artificial Intelligence 2024; 29 doi: 10.5772/intechopen.115047
74
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 Study. JMIR AI 2024; 3 doi: 10.2196/50525
75
Md. Hridoy Hossain, Abidur Rahman, Md Mahimuz Zaman, Md Raiyan Ahmed Panto, Sanjida Salwa Mou. SFA-MRI-Net: A Lightweight Approach for Interpretable Gastrointestinal Disease Classification Using a Diverse Endoscopic Dataset. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) 2026;  doi: 10.1109/QPAIN69676.2026.11546123
76
Amil Hüseynov, Azamet Çezik. Diagnostic Yield and Safety of Advanced Endoscopic Technologies in a Retrospective Cohort of 14,000 Gastrointestinal Procedures at a Tertiary Center. Turkish Journal of Colorectal Disease 2025;  doi: 10.4274/tjcd.galenos.2025.2025-4-7
77
Cristina Lanzotti, Mariangela Allocca, Alessandra Zilli, Ferdinando D’Amico, Virginia Solitano, Sara Massironi, Silvio Danese, Federica Furfaro. Integrating Intestinal Ultrasound in the Personalized Management of IBD. Journal of Personalized Medicine 2026; 16(4) doi: 10.3390/jpm16040199
78
Wenly Ruan, Priya Narula, Douglas S. Fishman. Upskilling Pediatric Ileocolonoscopy. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2) doi: 10.1016/j.giec.2022.11.006
79
Shreya Reddy, Avneet Shaheed, Yui Seo, Rakesh Patel. Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology Slides. Cureus 2024;  doi: 10.7759/cureus.56740
80
Alan N Barkun, Daniel von Renteln, Hamid Sadri. Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening. Journal of the Canadian Association of Gastroenterology 2023; 6(3) doi: 10.1093/jcag/gwad014
81
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 Review. Life 2023; 13(4) doi: 10.3390/life13041031
82
Mahdi Kalani, Fateme Mahdikhoshouei, Parvin Bahrami, Amirreza Sajjadieh Khajouei, Minoo Movahedi, Shima Mehdipour, Marzieh Rezvani Habibabadi. Designing a Software for Registry of Pregnant Women with Heart Disease in Iran and Preliminary Results. Journal of Medical Signals & Sensors 2025; 15(7) doi: 10.4103/jmss.jmss_43_24
83
Marni H. Wilkoff, Nicholas R. Piniella, Rashmi Advani. Can Artificial Intelligence Create an Accurate Colonoscopy Bowel Preparation Prompt?. Gastro Hep Advances 2025; 4(2) doi: 10.1016/j.gastha.2024.10.006
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