Academic Content and Language Evaluation of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (20447)
All Articles published online
|
Publishing Process of This Article
|
Oct 28, 2021 (publication date) through Jul 12, 2025
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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 |
| 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): 759 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
|
| 3 |
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): e24161 doi: 10.1016/j.heliyon.2024.e24161
|
| 4 |
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): 159 doi: 10.1016/j.giec.2024.04.008
|
| 5 |
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; doi: 10.1007/s10620-025-09067-y
|
| 6 |
Matthias Grade, Verena Uslar. Telemedizin und KI-gestützte Diagnostik im Alltag der Viszeralmedizin. Die Chirurgie 2025; 96(1): 23 doi: 10.1007/s00104-024-02213-8
|
| 7 |
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023; : 49 doi: 10.1007/978-3-031-21506-3_3
|
| 8 |
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
|
| 9 |
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): 107 doi: 10.3390/jpm14010107
|
| 10 |
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): 1844 doi: 10.3390/diagnostics14171844
|
| 11 |
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: e50525 doi: 10.2196/50525
|
| 12 |
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): 1609 doi: 10.3233/THC-230671
|
| 13 |
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
|
| 14 |
Wenly Ruan, Priya Narula, Douglas S. Fishman. Upskilling Pediatric Ileocolonoscopy. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2): 253 doi: 10.1016/j.giec.2022.11.006
|
| 15 |
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
|
| 16 |
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
|
| 17 |
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; : 151 doi: 10.1109/ICIPTM54933.2022.9754010
|
| 18 |
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: 1085 doi: 10.1007/978-981-99-3091-3_89
|
| 19 |
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): 97 doi: 10.1093/jcag/gwad014
|
| 20 |
Jie Zhang, Adrian Dawkins. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?. Ultrasound Quarterly 2024; 40(2): 93 doi: 10.1097/RUQ.0000000000000680
|
| 21 |
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): 1031 doi: 10.3390/life13041031
|
| 22 |
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; : 71 doi: 10.1007/978-3-031-70355-3_6
|
| 23 |
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
|
| 24 |
Marni H. Wilkoff, Nicholas R. Piniella, Rashmi Advani. Can Artificial Intelligence Create an Accurate Colonoscopy Bowel Preparation Prompt?. Gastro Hep Advances 2025; 4(2): 100566 doi: 10.1016/j.gastha.2024.10.006
|
| 25 |
Negin Letafatkar, Amr Ali Mohamed Abdelgawwad El-Sehrawy, KDV Prasad, Ahmad Alkhayyat, Ehsan Amini-Salehi, Maryam Hasanpour, Masoomeh Namdar Taleshani, Mohammad Hashemi, Hadi Alotaibi, Pegah Rashidian, Mohammad-Hossein Keivanlou, Soheil Hassanipour. Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends. Frontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1532640
|
| 26 |
Joseph J.Y. Sung. Artificial Intelligence in Medicine. 2024; : 1 doi: 10.1016/B978-0-323-95068-8.00001-7
|
| 27 |
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
|
| 28 |
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. ESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765620
|
| 29 |
Jonathan S. Galati, Kevin Lin, Seth A. Gross. Recent advances in devices and technologies that might prove revolutionary for colonoscopy procedures. Expert Review of Medical Devices 2023; 20(12): 1087 doi: 10.1080/17434440.2023.2280773
|
| 30 |
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopy. Seminars in Colon and Rectal Surgery 2024; 35(1): 101007 doi: 10.1016/j.scrs.2024.101007
|
| 31 |
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
|
| 32 |
Maziar Amini, Patrick W. Chang, Rio O. Davis, Denis D. Nguyen, Jennifer L Dodge, Jennifer Phan, James Buxbaum, Ara Sahakian. Comparing ChatGPT3.5 and Bard recommendations for colonoscopy intervals: Bridging the gap in healthcare settings. Endoscopy International Open 2025; 13(CP) doi: 10.1055/a-2586-5912
|
| 33 |
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
|
| 34 |
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): 1012 doi: 10.3390/jpm14091012
|
| 35 |
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): 7 doi: 10.22328/2079-5343-2025-16-1-7-18
|
| 36 |
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): e01747 doi: 10.14309/crj.0000000000001747
|
| 37 |
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): 173 doi: 10.1007/s10354-023-01020-w
|
| 38 |
Bolun Cheng, Wenming Wei, Chuyu Pan, Li Liu, Shiqiang Cheng, Xuena Yang, Peilin Meng, Boyue Zhao, Jinyu Xia, Huan Liu, Yumeng Jia, Yan Wen, Feng Zhang. Air pollutants and the risk of incident hepatobiliary diseases: A large prospective cohort study in the UK Biobank. Science of The Total Environment 2024; 949: 175047 doi: 10.1016/j.scitotenv.2024.175047
|
| 39 |
George Peek, Sharona B. Ross. The future implementation of artificial intelligence technology in esophageal surgery. Artificial Intelligence Surgery 2023; 3(4): 249 doi: 10.20517/ais.2023.56
|
| 40 |
Chin Hock Nicholas Tee, Rajesh Ravi, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in Barrett’s esophagus. Artificial Intelligence in Gastroenterology 2023; 4(2): 28-35 doi: 10.35712/aig.v4.i2.28
Abstract(921) |
Core Tip(922) |
Full Article(HTML)(3339)
|
Full Article with Cover (PDF)-843K(158)
|
Full Article (Word)-232K(100)
|
Audio-2708K(8)
|
Peer-Review Report-363K(120)
|
Answering Reviewers-201K(109)
|
Full Article (PDF)-587K(190)
|
Full Article (XML)-137K(102)
|
Times Cited (0)
|
Total Visits (9143)
|
Open
|
| 41 |
Peter Stawinski, Karolina Dziadkowiec, Lily Kuo, Juan Echavarria, Shreyas Saligram. Barrett’s Esophagus: An Updated Review. Diagnostics 2023; 13(2): 321 doi: 10.3390/diagnostics13020321
|
| 42 |
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 Prognosis. Journal of Clinical Medicine 2023; 12(23): 7380 doi: 10.3390/jcm12237380
|
| 43 |
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; : 1 doi: 10.1145/3702250.3702271
|
| 44 |
Antonio Giordano, Cristina Romero-Mascarell, Begoña González-Suárez, Carlos Guarner-Argente. Integration of Artificial Intelligence-Enhanced Capsule Endoscopy in Clinical Practice: A Review of Market-Available Tools for Clinical Practice. Digestive Diseases and Sciences 2025; doi: 10.1007/s10620-025-09099-4
|
| 45 |
Inna Novak, Lee M. Bass. Gastrointestinal Bleeding in Children. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2): 401 doi: 10.1016/j.giec.2022.11.003
|
| 46 |
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
|
| 47 |
Daria Claudia Turtoi, Vlad Dumitru Brata, Victor Incze, Abdulrahman Ismaiel, Dinu Iuliu Dumitrascu, Valentin Militaru, Mihai Alexandru Munteanu, Alexandru Botan, Dan Alexandru Toc, Traian Adrian Duse, Stefan Lucian Popa. Artificial Intelligence for the Automatic Diagnosis of Gastritis: A Systematic Review. Journal of Clinical Medicine 2024; 13(16): 4818 doi: 10.3390/jcm13164818
|
| 48 |
Srinadh Komanduri, Amrita Sethi, V. Raman Muthusamy. Future Implications of Innovation in Gastroenterology for Clinical Practice: A Call to Action. American Journal of Gastroenterology 2023; 118(8): 1307 doi: 10.14309/ajg.0000000000002194
|
| 49 |
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 Gastroenterology. Cureus 2024; doi: 10.7759/cureus.51848
|
| 50 |
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): 102029 doi: 10.1016/j.gassur.2025.102029
|
| 51 |
Nabil M. Mansour. Artificial Intelligence in Colonoscopy. Current Gastroenterology Reports 2023; 25(6): 122 doi: 10.1007/s11894-023-00872-x
|
| 52 |
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): 26 doi: 10.1017/S1092852923002420
|
| 53 |
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 Images. Journal of Magnetic Resonance Imaging 2023; 57(2): 472 doi: 10.1002/jmri.28300
|
| 54 |
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 imaging. Biomedicine & Pharmacotherapy 2023; 158: 114182 doi: 10.1016/j.biopha.2022.114182
|
| 55 |
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 practice. Frontiers in Public Health 2023; 11 doi: 10.3389/fpubh.2023.1301563
|
| 56 |
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 Study. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4188558
|
| 57 |
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): 1090 doi: 10.1016/j.gie.2024.06.040
|
| 58 |
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
|
| 59 |
Sami Elamin, Shreya Johri, Pranav Rajpurkar, Enrik Geisler, Tyler M Berzin. From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets. Journal of the Canadian Association of Gastroenterology 2025; 8(Supplement_2): S81 doi: 10.1093/jcag/gwae041
|
| 60 |
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
|
| 61 |
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: 102940 doi: 10.1016/j.eclinm.2024.102940
|
| 62 |
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: e2059 doi: 10.7717/peerj-cs.2059
|
| 63 |
Constantine M. Poulos, Ryan Cassidy, Eamon Khatibifar, Erik Holzwanger, Lana Schumacher. The current state of artificial intelligence in robotic esophageal surgery. Mini-invasive Surgery 2025; doi: 10.20517/2574-1225.2024.42
|
| 64 |
Nisha Ganesh, Stephen B Hanauer, Parambir S Dulai. The importance of predicting patient responses to monoclonal antibodies for Crohn’s disease. Expert Opinion on Biological Therapy 2023; 23(10): 941 doi: 10.1080/14712598.2023.2252339
|
| 65 |
Mentore Ribolsi, Gianluca Andrisani, Francesco Maria Di Matteo, Michele Cicala. Achalasia, from diagnosis to treatment. Expert Review of Gastroenterology & Hepatology 2023; 17(1): 21 doi: 10.1080/17474124.2022.2163236
|
| 66 |
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise. Journal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
|
| 67 |
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): 1214 doi: 10.3390/jpm13081214
|
| 68 |
Pedro Davila-Piñón, Alba Nogueira-Rodríguez, Astrid Irene Díez-Martín, Laura Codesido, Jesús Herrero, Manuel Puga, Laura Rivas, Eloy Sánchez, Florentino Fdez-Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Joaquín Cubiella. Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1393815
|
| 69 |
Miguel Mascarenhas, Francisco Mendes, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, João Ferreira, João Fonseca, Guilherme Macedo. Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy. Journal of Clinical Medicine 2025; 14(2): 549 doi: 10.3390/jcm14020549
|
| 70 |
AI Marketing and Ethical Considerations in Consumer Engagement. Advances in Computational Intelligence and Robotics 2025; : 347 doi: 10.4018/979-8-3373-3476-9.ch018
|
| 71 |
O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin. Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia. Russian Journal of Gastroenterology, Hepatology, Coloproctology 2024; 34(5): 32 doi: 10.22416/1382-4376-2024-34-5-32-39
|
| 72 |
Anlon J Saji, Gopika Pushpan, Riny Rajan, Nourin Fathima N, Manjima Anoop. Advanced Endoscopic Precision:Focal Modulation Guided CNNs for Targeted Diagnosis of GI Anomalies. 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) 2024; : 341 doi: 10.1109/ICCPCT61902.2024.10673322
|
| 73 |
Babak Khorsand, Mohsen Rajabnia, Ali Jahanian, Mobin Fathy, Somayye Taghvaei, Hamidreza Houri. Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data. Advances in Medical Sciences 2025; 70(1): 1 doi: 10.1016/j.advms.2024.10.001
|
| 74 |
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): 115 doi: 10.1111/jgh.16788
|
| 75 |
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 Hepatology. Diagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
|
| 76 |
Alberto Savino, Emanuele Rondonotti, Simone Rocchetto, Alessandra Piagnani, Niccolò Bina, Pasquale Di Domenico, Francesco Segatta, Franco Radaelli. GI genius endoscopy module: a clinical profile. Expert Review of Medical Devices 2024; 21(5): 359 doi: 10.1080/17434440.2024.2342508
|
| 77 |
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): 209 doi: 10.18499/2070-478X-2024-17-4-209-216
|
| 78 |
Sonja Skiljic, Dino Budrovac, Ana Cicvaric, Nenad Neskovic, Slavica Kvolik. Advances in Analgosedation and Periprocedural Care for Gastrointestinal Endoscopy. Life 2023; 13(2): 473 doi: 10.3390/life13020473
|
| 79 |
Fahriye Tugba Kos, Songul Cecen Kaynak, Selin Aktürk Esen, Hilal Arslan, Dogan Uncu . Comparison of Different Machine Learning Models for Predicting Long-Term Overall Survival in Non-metastatic Colorectal Cancers. Cureus 2024; doi: 10.7759/cureus.75713
|
| 80 |
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): 476 doi: 10.1111/1751-2980.13308
|
| 81 |
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 study. American Journal of Otolaryngology 2023; 44(2): 103695 doi: 10.1016/j.amjoto.2022.103695
|
| 82 |
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 bleeding. Surgical Endoscopy 2023; 37(10): 7658 doi: 10.1007/s00464-023-10273-w
|
| 83 |
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
|
| 84 |
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
|
| 85 |
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 Medicine. Diagnostics 2023; 13(18): 2992 doi: 10.3390/diagnostics13182992
|
| 86 |
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): 146 doi: 10.17650/1726-9776-2023-19-2-148-152
|
| 87 |
Palak Handa, Nidhi Goel, Sreedevi Indu, Deepak Gunjan. AI-KODA score application for cleanliness assessment in video capsule endoscopy frames. Minimally Invasive Therapy & Allied Technologies 2024; 33(5): 311 doi: 10.1080/13645706.2024.2390879
|
| 88 |
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
|
| 89 |
Victoria S. Jiang, Zoran J. Pavlovic, Eduardo Hariton. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies. Obstetrics and Gynecology Clinics of North America 2023; 50(4): 747 doi: 10.1016/j.ogc.2023.09.003
|