| For: | Yang YJ, Bang CS. Application of artificial intelligence in gastroenterology. World J Gastroenterol 2019; 25(14): 1666-1683 [PMID: 31011253 DOI: 10.3748/wjg.v25.i14.1666] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v25/i14/1666.htm |
| Number | Citing Articles |
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Azra Rasouli Kenari, Hossein Rabbani. Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-21031-4
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Shohei Igarashi, Yoshihiro Sasaki, Tatsuya Mikami, Hirotake Sakuraba, Shinsaku Fukuda. Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet. Computers in Biology and Medicine 2020; 124 doi: 10.1016/j.compbiomed.2020.103950
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Luka Racic, Tomo Popovic, Stevan cakic, Stevan Sandi. Pneumonia Detection Using Deep Learning Based on Convolutional Neural Network. 2021 25th International Conference on Information Technology (IT) 2021; doi: 10.1109/IT51528.2021.9390137
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Yang Deng, Hang-Yu Qin, Yan-Yan Zhou, Hong-Hong Liu, Yong Jiang, Jian-Ping Liu, Ji Bao. Artificial intelligence applications in pathological diagnosis of gastric cancer. Heliyon 2022; 8(12) doi: 10.1016/j.heliyon.2022.e12431
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Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch. A social evaluation of the perceived goodness of explainability in machine learning. Journal of Business Analytics 2022; 5(1) doi: 10.1080/2573234X.2021.1952913
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Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das. Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysis. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1018937
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Ruixue Ai, Xurui Jin, Bowen Tang, Guang Yang, Zhangming Niu, Evandro F. Fang. Artificial Intelligence in Medicine. 2022; doi: 10.1007/978-3-030-64573-1_74
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Popat Mohite, Gaurav Sawant, Ishlok Khadka, Dharam Gharat, Kavita Dwivedi, Sachin N. Kothawade. Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer. 2026; doi: 10.1016/B978-0-443-33565-5.00005-0
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Badi Rawashdeh, Joohyun Kim, Saif Aldeen AlRyalat, Raj Prasad, Matthew Cooper. ChatGPT and Artificial Intelligence in Transplantation Research: Is It Always Correct?. Cureus 2023; doi: 10.7759/cureus.42150
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| 11 |
Nakarin Inmutto, Suwalee Pojchamarnwiputh, Wittanee Na Chiangmai. Multiphase Computed Tomography Scan Findings for Artificial Intelligence Training in the Differentiation of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Interobserver Agreement of Expert Abdominal Radiologists. Diagnostics 2025; 15(7) doi: 10.3390/diagnostics15070821
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Mahda Delshad, Mohammad Amin Omrani, Atieh Pourbagheri-Sigaroodi, Davood Bashash. Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment. Iranian Journal of Blood and Cancer 2023; 15(3) doi: 10.61186/ijbc.15.3.13
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M A Riegler, M H Stensen, O Witczak, J M Andersen, S A Hicks, H L Hammer, E Delbarre, P Halvorsen, A Yazidi, N Holst, T B Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction 2021; 36(9) doi: 10.1093/humrep/deab168
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| 14 |
Esha Saxena, Suraiya Parveen, Mohd. Abdul Ahad, Meenakshi Yadav. Preprocessing Frameworks for Endoscopic Imaging: Improving Diagnostic Accuracy. 2025 IEEE 1st International Conference on Recent Trends in Computing and Smart Mobility (RCSM) 2025; doi: 10.1109/RCSM67767.2025.11506817
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| 15 |
Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Hae Min Jeong, Gwang Ho Baik, Jae Hoon Jeong, Sigmund Dick, Gi Hun Lee. Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study. Journal of Medical Internet Research 2023; 25 doi: 10.2196/50448
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| 16 |
Young Joo Yang, Bum-Joo Cho, Myung-Je Lee, Ju Han Kim, Hyun Lim, Chang Seok Bang, Hae Min Jeong, Ji Taek Hong, Gwang Ho Baik. Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning. Journal of Clinical Medicine 2020; 9(5) doi: 10.3390/jcm9051593
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| 17 |
Young Joo Yang. The Future of Capsule Endoscopy: The Role of Artificial Intelligence and Other Technical Advancements. Clinical Endoscopy 2020; 53(4) doi: 10.5946/ce.2020.133
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| 18 |
Daniel Vasile Balaban, Mariana Jinga. Digital histology in celiac disease: A practice changer. Artificial Intelligence in Gastroenterology 2020; 1(1): 1-4 doi: 10.35712/aig.v1.i1.1
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| 19 |
Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik. Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy. Journal of Medical Internet Research 2020; 22(9) doi: 10.2196/21983
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| 20 |
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| 21 |
Francesco Verde, Valeria Romeo, Arnaldo Stanzione, Simone Maurea. Current trends of artificial intelligence in cancer imaging. Artificial Intelligence in Medical Imaging 2020; 1(3): 87-93 doi: 10.35711/aimi.v1.i3.87
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| 22 |
Yaron Ilan. Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes. Frontiers in Digital Health 2020; 2 doi: 10.3389/fdgth.2020.569178
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| 23 |
Rawen Kader, Andreas V Hadjinicolaou, Fanourios Georgiades, Danail Stoyanov, Laurence B Lovat. Optical diagnosis of colorectal polyps using convolutional neural networks. World Journal of Gastroenterology 2021; 27(35): 5908-5918 doi: 10.3748/wjg.v27.i35.5908
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| 24 |
Joanna Ejdys, Magdalena Czerwińska. Advances in Information and Communication. Lecture Notes in Networks and Systems 2024; 921 doi: 10.1007/978-3-031-54053-0_45
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| 25 |
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 Learning. Sensors 2021; 22(1) doi: 10.3390/s22010253
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| 26 |
Gaby N. Moawad, Jad Elkhalil, Jordan S. Klebanoff, Sara Rahman, Nassir Habib, Ibrahim Alkatout. Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine. Journal of Clinical Medicine 2020; 9(12) doi: 10.3390/jcm9123811
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| 27 |
Preeti Arora, Vinod M Kapse, Sapna Sinha, Saksham Gera. An analytical study for Pneumonia Detection towards building an intelligent system using Image Data Generator. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2021; doi: 10.1109/ICRITO51393.2021.9596434
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| 28 |
Vishal Kumar Sahu, Amit Ranjan, Manash K. Paul, Shuchi Nagar, Shine Devarajan, Jyotirmoi Aich, Soumya Basu. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications. Advances in Healthcare Information Systems and Administration 2023; doi: 10.4018/978-1-6684-5422-0.ch014
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| 29 |
Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Seung In Seo, Young Joo Yang, Gwang Ho Baik, Jong Wook Kim. No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification. Journal of Personalized Medicine 2022; 12(6) doi: 10.3390/jpm12060963
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| 30 |
Bum-Joo Cho, Chang Seok Bang. Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help. American Journal of Gastroenterology 2020; 115(1) doi: 10.14309/ajg.0000000000000476
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| 31 |
Yu. P. Uspenskiy, N. V. Baryshnikova, A. A. Ershova. Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsia. Medical alphabet 2022; (12) doi: 10.33667/2078-5631-2022-12-27-33
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M. E. Tabacchi, D. Tegolo, D. Cascio, C. Valenti, S. Sorce, V. Gentile, V. Taormina, I. Brusca, G. Magazzu, A. Giuliano, G. Raso. A Fuzzy-Based Clinical Decision Support System for Coeliac Disease. IEEE Access 2022; 10 doi: 10.1109/ACCESS.2022.3208903
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Ali Zifan, Junyue Lin, Zihan Peng, Yiqing Bo, Ravinder K. Mittal. Unraveling Functional Dysphagia: A Game-Changing Automated Machine-Learning Diagnostic Approach. Applied Sciences 2023; 13(18) doi: 10.3390/app131810116
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Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerdà, Joseph Ciarrochi, Mauro da Lio, Nicole D’Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah. Artificial Intelligence in Science and Society: The Vision of USERN. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2025.3529357
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Jeremi Podlasek, Mateusz Heesch, Robert Podlasek, Wojciech Kilisiński, Rafał Filip. Real-time deep learning-based colorectal polyp localization on clinical video footage achievable with a wide array of hardware configurations. Endoscopy International Open 2021; 9(05) doi: 10.1055/a-1388-6735
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Inzamamul Islam, Nargis Begum, Md Islam, Alfi Islam. Evolution of Artificial Intelligence Is a Revolution in Medical Science
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Francesco Lupariello, Luca Sussetto, Sara Di Trani, Giancarlo Di Vella. Artificial Intelligence and Child Abuse and Neglect: A Systematic Review. Children 2023; 10(10) doi: 10.3390/children10101659
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Hemant Goyal, Syed Ali Amir Sherazi, Shweta Gupta, Abhilash Perisetti, Ikechukwu Achebe, Aman Ali, Benjamin Tharian, Nirav Thosani, Neil R. Sharma. Application of artificial intelligence in diagnosis of pancreatic malignancies by endoscopic ultrasound: a systemic review. Therapeutic Advances in Gastroenterology 2022; 15 doi: 10.1177/17562848221093873
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Chrysanthos D Christou, Georgios Tsoulfas. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology 2021; 27(37): 6191-6223 doi: 10.3748/wjg.v27.i37.6191
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Chang Seok Bang, Ji Yong Ahn, Jie-Hyun Kim, Young-Il Kim, Il Ju Choi, Woon Geon Shin. Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study. Journal of Medical Internet Research 2021; 23(4) doi: 10.2196/25053
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Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik, Hyun Lim, Jae Hoon Jeong, Sung Won Choi, Joonhee Cho, Deok Yeol Kim, Kang Bin Lee, Seung-Il Shin, Dick Sigmund, Byeong In Moon, Sung Chul Park, Sang Hoon Lee, Ki Bae Bang, Dae-Soon Son. Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study . Endoscopy 2023; 55(08) doi: 10.1055/a-2031-0691
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Fatih Ciftci, Kadriye Yasemin Usta Ayanoğlu, Sajjad Nematzadeh, Ferzat Anka. A dual-model AI framework for Alzheimer’s disease diagnosis using clinical and MRI data. Frontiers in Medicine 2026; 12 doi: 10.3389/fmed.2025.1713062
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Hye Jin Kim, Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Ki Tae Suk, Gwang Ho Baik. Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis. Journal of Personalized Medicine 2022; 12(4) doi: 10.3390/jpm12040644
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Malinda Vania, Bayu Adhi Tama, Hasan Maulahela, Sunghoon Lim. Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions. IEEE Access 2023; 11 doi: 10.1109/ACCESS.2023.3290997
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Gaurav Mahajan, Hardeep Kaur, Srinu Deshidi, Surinder Singh Rana. Differential Diagnosis and Management of Pancreatic Cystic Lesions. 2026; doi: 10.1007/978-981-92-0654-4_14
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Hiroyuki Imaeda, Yoshikazu Tsuzuki, Kazuya Miyaguchi, Keigo Ashitani, Hideki Ohgo, Hidetomo Nakamoto. Artificial intelligence for endoscopy. World Journal of Meta-Analysis 2019; 7(7): 343-345 doi: 10.13105/wjma.v7.i7.343
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N. V. Baryshnikova, N. A. Shchapkov. Innovations in gastroenterology. Medical alphabet 2025; (25) doi: 10.33667/2078-5631-2025-25-8-12
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Celina Silvia Stafie, Irina-Georgeta Sufaru, Cristina Mihaela Ghiciuc, Ingrid-Ioana Stafie, Eduard-Constantin Sufaru, Sorina Mihaela Solomon, Monica Hancianu. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. Diagnostics 2023; 13(12) doi: 10.3390/diagnostics13121995
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Ruixue Ai, Xurui Jin, Bowen Tang, Guang Yang, Zhangming Niu, Evandro F. Fang. Artificial Intelligence in Medicine. 2021; doi: 10.1007/978-3-030-58080-3_74-1
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Meet Patel, Keyaba Gohil, Aditya Gohil, Fenil Ramoliya, Rajesh Gupta, Sudeep Tanwar, Zdzislaw Polkowski, Fayez Alqahtani, Amr Tolba. Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0. Computers and Electrical Engineering 2024; 118 doi: 10.1016/j.compeleceng.2024.109414
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Xiren Li. Artificial intelligence neural network based on intelligent diagnosis. Journal of Ambient Intelligence and Humanized Computing 2021; 12(1) doi: 10.1007/s12652-020-02108-6
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Lisa Khairil, Koay Hean Seng Benny, Jesreena Jerry, Farhat Mussa Khatib, Muhammad Danial Che Ramli, Suresh Kumar. AI in Drug Discovery: Clinical Failures, Regulatory Reality, and the Validation Crisis Behind the Hype. Pharmaceuticals 2026; 19(6) doi: 10.3390/ph19060916
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Eladio Rodriguez-Diaz, György Baffy, Wai-Kit Lo, Hiroshi Mashimo, Gitanjali Vidyarthi, Shyam S. Mohapatra, Satish K. Singh. Real-time artificial intelligence–based histologic classification of colorectal polyps with augmented visualization. Gastrointestinal Endoscopy 2021; 93(3) doi: 10.1016/j.gie.2020.09.018
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Jing Wang, Jie Wei, Long Li, Lijian Zhang. Application of Big data scientific research analysis platform in clinical medical research. Journal of Intelligent & Fuzzy Systems 2021; doi: 10.3233/JIFS-189809
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The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training. ICST Transactions on Scalable Information Systems 2023; doi: 10.4108/eetsis.v10i3.3046
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Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Zhongheng Zhang, Neil Sharma, Shreyas Saligram, Sumant Inamdar, Benjamin Tharian. Application of artificial intelligence in pancreaticobiliary diseases. Therapeutic Advances in Gastrointestinal Endoscopy 2021; 14 doi: 10.1177/2631774521993059
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Paul T Kröner, Megan ML Engels, Benjamin S Glicksberg, Kipp W Johnson, Obaie Mzaik, Jeanin E van Hooft, Michael B Wallace, Hashem B El-Serag, Chayakrit Krittanawong. Artificial intelligence in gastroenterology: A state-of-the-art review. World Journal of Gastroenterology 2021; 27(40): 6794-6824 doi: 10.3748/wjg.v27.i40.6794
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Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi. Artificial Intelligence in Healthcare: Review, Ethics, Trust Challenges & Future Research Directions. Engineering Applications of Artificial Intelligence 2023; 120 doi: 10.1016/j.engappai.2023.105894
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Mimi Zhou, Weiping Jie, Fan Tang, Shangjun Zhang, Qinghua Mao, Chuanxia Liu, Yilong Hao. Deep learning algorithms for classification and detection of recurrent aphthous ulcerations using oral clinical photographic images. Journal of Dental Sciences 2024; 19(1) doi: 10.1016/j.jds.2023.04.022
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Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, Josef Renato Rodríguez Mallma, Marcos Vilca-Aguilar, María Salas-Ojeda, David Mauricio. Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review. Neurology International 2024; 16(6) doi: 10.3390/neurolint16060098
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Ashraf Almomani, Asif Hitawala, Mohammad Abureesh, Thabet Qapaja, Dana Alshaikh, Mohammad Zmaili, Mohannad Abou Saleh, Motasem Alkhayyat. Implications of artificial intelligence in inflammatory bowel disease: Diagnosis, prognosis and treatment follow up. Artificial Intelligence in Gastroenterology 2021; 2(3): 85-93 doi: 10.35712/aig.v2.i3.85
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Thomas Boillat, Faisal A Nawaz, Homero Rivas. Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study. JMIR Medical Education 2022; 8(2) doi: 10.2196/34973
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Slawomir Wozniak, Aleksander Pawlus, Joanna Grzelak, Slawomir Chobotow, Friedrich Paulsen, Cyprian Olchowy, Urszula Zaleska-Dorobisz. Acute colonic flexures: the basis for developing an artificial intelligence-based tool for predicting the course of colonoscopy. Anatomical Science International 2023; 98(1) doi: 10.1007/s12565-022-00681-8
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Mengdi Jiang, Yueting Li, Chendan Jiang, Lidan Zhao, Xuan Zhang, Peter E Lipsky. Machine Learning in Rheumatic Diseases. Clinical Reviews in Allergy & Immunology 2021; 60(1) doi: 10.1007/s12016-020-08805-6
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Yu-Hang Zhang, Lin-Jie Guo, Xiang-Lei Yuan, Bing Hu. Artificial intelligence-assisted esophageal cancer management: Now and future. World Journal of Gastroenterology 2020; 26(35): 5256-5271 doi: 10.3748/wjg.v26.i35.5256
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Vishnu Kumar Mishra, Megha Mishra, Rajesh Tiwari, Tarun Dhar Diwan, Rama Soni, Raj Kumar Patra. Deep Learning Algorithms for Pneumonia: A Comparative Approach to Classification and Segmentation. 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) 2024; doi: 10.1109/ICCCMLA63077.2024.10871899
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Mirko Stojčić, Milorad K. Banjanin, Milan Vasiljević, Dragana Nedić, Aleksandar Stjepanović, Dejan Danilović, Goran Puzić. Predictive Modeling of Delay in an LTE Network by Optimizing the Number of Predictors Using Dimensionality Reduction Techniques. Applied Sciences 2023; 13(14) doi: 10.3390/app13148511
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Michihiro Kudou, Toshiyuki Kosuga, Eigo Otsuji. Artificial intelligence in gastrointestinal cancer: Recent advances and future perspectives. Artificial Intelligence in Gastroenterology 2020; 1(4): 71-85 doi: 10.35712/aig.v1.i4.71
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Zhenjun Yan, Ling Jiang, Xiaoli Huang, Lifang Zhang, Xinxin Zhou. Intelligent urbanism with artificial intelligence in shaping tomorrow’s smart cities: current developments, trends, and future directions. Journal of Cloud Computing 2023; 12(1) doi: 10.1186/s13677-023-00569-6
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Irina Polyakova, Anton Sysoev. Ethical Problems of Applying Artificial Intelligence: Medical Intelligent Systems and Autonomous Vehicles. 2023 3rd International Conference on Technology Enhanced Learning in Higher Education (TELE) 2023; doi: 10.1109/TELE58910.2023.10184398
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Sarah El-Nakeep, Mohamed El-Nakeep. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artificial Intelligence in Gastroenterology 2021; 2(5): 124-132 doi: 10.35712/aig.v2.i5.124
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Zhixian Bao, Jie Du, Ya Zheng, Qinghong Guo, Rui Ji. Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1363812
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Bum-Joo Cho, Chang Seok Bang, Jae Jun Lee, Chang Won Seo, Ju Han Kim. Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning. Journal of Clinical Medicine 2020; 9(6) doi: 10.3390/jcm9061858
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Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar. Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer. Journal of Clinical Medicine 2020; 9(10) doi: 10.3390/jcm9103313
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Daniel Vasile Balaban, Mariana Jinga. Digital histology in celiac disease: A practice changer. Artificial Intelligence in Gastroenterology 2020; 1(1) doi: 10.35712/wjg.v1.i1.1
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Caleb Alford, Bennett Lange, Ashleigh Farmer, Rishi Nadar, Suhrud Pathak, Rachel Parise, Javed Shareef, Sathvik Sridhar, Hanan Fahad Alharbi, Jack Deruiter, Kirubakaran Narayanan, Mullaicharam Bhupathyraaj, Muralikrishnan Dhanasekaran. Application of Artificial Intelligence in Neurological Disorders. Nutritional Neurosciences 2024; doi: 10.1007/978-981-97-2577-9_7
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Miguel Jiménez Pérez, Rocío González Grande. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World Journal of Gastroenterology 2020; 26(37): 5617-5628 doi: 10.3748/wjg.v26.i37.5617
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| 180 |
Tiago Ribeiro, Rui Morais, Cristiana Monteiro, Ana Carvalho, Sónia Barros, André Fernando, Mathieu Pioche, Enrique Rodríguez de Santiago, Guilherme Macedo. Estimating the environmental impact of endoscopic activity at a tertiary center: a pilot study. European Journal of Gastroenterology & Hepatology 2024; 36(1) doi: 10.1097/MEG.0000000000002667
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Daniela Cornelia Lazăr, Mihaela Flavia Avram, Alexandra Corina Faur, Adrian Goldiş, Ioan Romoşan, Sorina Tăban, Mărioara Cornianu. The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future. Medicina 2020; 56(7) doi: 10.3390/medicina56070364
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| 182 |
Ufuk Koca Caliskan, Methiye Mancak Karakus. Evaluation of botanicals as potential COVID-19 symptoms terminator . World Journal of Gastroenterology 2021; 27(39): 6551-6571 doi: 10.3748/wjg.v27.i39.6551
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Eun Jeong Gong, Chang Seok Bang. Interpretation of Medical Images Using Artificial Intelligence: Current Status and Future Perspectives. The Korean Journal of Gastroenterology 2023; 82(1) doi: 10.4166/kjg.2023.071
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Kyeong Ok Kim, Eun Young Kim. Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm. Gut and Liver 2021; 15(3) doi: 10.5009/gnl20186
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Chang Seok Bang, Hyun Lim, Hae Min Jeong, Sung Hyeon Hwang. Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study. Journal of Medical Internet Research 2021; 23(4) doi: 10.2196/25167
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Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik. Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis. Journal of Medical Internet Research 2021; 23(12) doi: 10.2196/33267
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Jack Garland, Mindy Hu, Michael Duffy, Kilak Kesha, Charley Glenn, Paul Morrow, Simon Stables, Benjamin Ondruschka, Ugo Da Broi, Rexson Datquen Tse. Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks. American Journal of Forensic Medicine & Pathology 2021; 42(3) doi: 10.1097/PAF.0000000000000672
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D. D. Mukhametova, O. E. Akchurina, D. I. Abdulganieva. Artificial Intelligence in Ultrasound Diagnosis of Bowel Diseases: Modern Possibilities. Russian Journal of Gastroenterology, Hepatology, Coloproctology 2026; 35(6) doi: 10.22416/1382-4376-2025-35-6-27-34
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