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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]
URL: https://www.wjgnet.com/1007-9327/full/v25/i14/1666.htm
Number Citing Articles
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Fengyang Zhang, Shihuan Wu, Meimin Qu, Li Zhou, Yuvaraja Teekaraman. Application of a Remotely Controlled Artificial Intelligence Analgesic Pump Device in Painless Treatment of ChildrenContrast Media & Molecular Imaging 2022; 2022: 1 doi: 10.1155/2022/1013241
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Rajesh Kumar Mokhria, Jasbir Singh. Role of artificial intelligence in the diagnosis and treatment of hepatocellular carcinomaArtificial Intelligence in Gastroenterology 2022; 3(4): 96-104 doi: 10.35712/aig.v3.i4.96
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Hae Dong Lee, Kyung Han Nam, Cheol Min Shin, Hye Seung Lee, Young Hoon Chang, Hyuk Yoon, Young Soo Park, Nayoung Kim, Dong Ho Lee, Sang-Hoon Ahn, Hyung-Ho Kim. Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine MethodsCancer Research and Treatment 2023; 55(4): 1240 doi: 10.4143/crt.2022.1330
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Khalid Al Utaibi, Usama Ahmad, Sadiq M Sait, Sohail Iqbal. Medical imaging and nano-engineering advances with artificial intelligenceProceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems 2023; : 239779142311614 doi: 10.1177/23977914231161443
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Jiacheng Tang, Ziyan Xu, Rui Li. Application of Artificial Intelligence Based on Data Mining in State Monitoring of Mechanical Equipment2021 International Conference on Aviation Safety and Information Technology 2021; : 774 doi: 10.1145/3510858.3511383
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Hong Jiang. Artificial Intelligence in Anesthesiology2023; : 1 doi: 10.1007/978-981-99-5925-9_1
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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 AlexNetComputers in Biology and Medicine 2020; 124: 103950 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 Network2021 25th International Conference on Information Technology (IT) 2021; : 1 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 cancerHeliyon 2022; 8(12): e12431 doi: 10.1016/j.heliyon.2022.e12431
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Hye-Jin Kim, Eun-Jeong Gong, Chang-Seok Bang. Application of Machine Learning Based on Structured Medical Data in GastroenterologyBiomimetics 2023; 8(7): 512 doi: 10.3390/biomimetics8070512
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Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch. A social evaluation of the perceived goodness of explainability in machine learningJournal of Business Analytics 2022; 5(1): 29 doi: 10.1080/2573234X.2021.1952913
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Hua Yin, Xiaoli Yang, Liqi Sun, Peng Pan, Lisi Peng, Keliang Li, Deyu Zhang, Fang Cui, Chuanchao Xia, Haojie Huang, Zhaoshen Li. The value of artificial intelligence techniques in predicting pancreatic ductal adenocarcinoma with EUS images: A meta-analysis and systematic reviewEndoscopic Ultrasound 2023; 12(1): 50 doi: 10.4103/EUS-D-21-00131
14
Chrysanthos D Christou, Georgios Tsoulfas. Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!World Journal of Gastroenterology 2023; 29(48): 6168-6178 doi: 10.3748/wjg.v29.i48.6168
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Guihua Chen, Jun Shen. Artificial Intelligence Enhances Studies on Inflammatory Bowel DiseaseFrontiers in Bioengineering and Biotechnology 2021; 9 doi: 10.3389/fbioe.2021.635764
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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-analysisFrontiers 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 Medicine2022; : 1057 doi: 10.1007/978-3-030-64573-1_74
18
Liang Wang, Hui Song, Ming Wang, Hui Wang, Ran Ge, Yan Shen, Yongli Yu, Kalidoss Rajakani. Utilization of Ultrasonic Image Characteristics Combined with Endoscopic Detection on the Basis of Artificial Intelligence Algorithm in Diagnosis of Early Upper Gastrointestinal CancerJournal of Healthcare Engineering 2021; 2021: 1 doi: 10.1155/2021/2773022
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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
20
Sarah Tham, Frederick H. Koh, Jasmine Ladlad, Koy-Min Chue, Cui-Li Lin, Eng-Kiong Teo, Fung-Joon Foo. The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereofAnnals of Coloproctology 2023; 39(5): 385 doi: 10.3393/ac.2022.00878.0125
21
Glenn Koleth, James Emmanue, Marco Spadaccini, Pietro Mascagni, Kareem Khalaf, Yuichi Mori, Giulio Antonelli, Roberta Maselli, Silvia Carrara, Piera Alessia Galtieri, Gaia Pellegatta, Alessandro Fugazza, Andrea Anderloni, Carmelo Selvaggio, Michael Bretthauer, Alessio Aghemo, Antonino Spinelli, Victor Savevski, Prateek Sharma, Cesare Hassan, Alessandro Repici. Artificial intelligence in gastroenterology: Where are we heading?Endoscopy International Open 2022; 10(11): E1474 doi: 10.1055/a-1907-6569
22
Mahda Delshad, Mohammad Amin Omrani, Atieh Pourbagheri-Sigaroodi, Davood Bashash. Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatmentIranian Journal of Blood and Cancer 2023; 15(3): 13 doi: 10.61186/ijbc.15.3.13
23
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 possibilitiesHuman Reproduction 2021; 36(9): 2429 doi: 10.1093/humrep/deab168
24
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 StudyJournal of Medical Internet Research 2023; 25: e50448 doi: 10.2196/50448
25
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 LearningJournal of Clinical Medicine 2020; 9(5): 1593 doi: 10.3390/jcm9051593
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28
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Yihong Li. Research on neural network algorithm in artificial intelligence recognitionSustainable Energy Technologies and Assessments 2022; 53: 102691 doi: 10.1016/j.seta.2022.102691
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Francesco Verde, Valeria Romeo, Arnaldo Stanzione, Simone Maurea. Current trends of artificial intelligence in cancer imagingArtificial Intelligence in Medical Imaging 2020; 1(3): 87-93 doi: 10.35711/aimi.v1.i3.87
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Yaron Ilan. Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical OutcomesFrontiers in Digital Health 2020; 2 doi: 10.3389/fdgth.2020.569178
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Rawen Kader, Andreas V Hadjinicolaou, Fanourios Georgiades, Danail Stoyanov, Laurence B Lovat. Optical diagnosis of colorectal polyps using convolutional neural networksWorld Journal of Gastroenterology 2021; 27(35): 5908-5918 doi: 10.3748/wjg.v27.i35.5908
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Simone Brogi, Vincenzo Calderone. Artificial Intelligence in Translational MedicineInternational Journal of Translational Medicine 2021; 1(3): 223 doi: 10.3390/ijtm1030016
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Thomas K.L. Lui, Vivien W.M. Tsui, Wai K. Leung. Accuracy of artificial intelligence–assisted detection of upper GI lesions: a systematic review and meta-analysisGastrointestinal Endoscopy 2020; 92(4): 821 doi: 10.1016/j.gie.2020.06.034
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Joanna Ejdys, Magdalena Czerwińska. Advances in Information and CommunicationLecture Notes in Networks and Systems 2024; 921: 677 doi: 10.1007/978-3-031-54053-0_45
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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 LearningSensors 2021; 22(1): 253 doi: 10.3390/s22010253
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Shahid Aziz, Simone König, Muhammad Umer, Tayyab Saeed Akhter, Shafqat Iqbal, Maryum Ibrar, Tofeeq Ur-Rehman, Tanvir Ahmad, Alfizah Hanafiah, Rabaab Zahra, Faisal Rasheed. Risk factor profiles for gastric cancer prediction with respect to <i>Helicobacter pylori</i>: A study of a tertiary care hospital in PakistanArtificial Intelligence in Gastroenterology 2023; 4(1): 10-27 doi: 10.35712/aig.v4.i1.10
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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 MedicineJournal of Clinical Medicine 2020; 9(12): 3811 doi: 10.3390/jcm9123811
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Chang Seok Bang. Artificial Intelligence in the Analysis of Upper Gastrointestinal DisordersThe Korean Journal of Helicobacter and Upper Gastrointestinal Research 2021; 21(4): 300 doi: 10.7704/kjhugr.2021.0030
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Preeti Arora, Vinod M Kapse, Sapna Sinha, Saksham Gera. An analytical study for Pneumonia Detection towards building an intelligent system using Image Data Generator2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2021; : 1 doi: 10.1109/ICRITO51393.2021.9596434
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Eugenia Uche-Anya, Adjoa Anyane-Yeboa, Tyler M Berzin, Marzyeh Ghassemi, Folasade P May. Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equityGut 2022; 71(9): 1909 doi: 10.1136/gutjnl-2021-326271
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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 ApplicationsAdvances in Healthcare Information Systems and Administration 2023; : 210 doi: 10.4018/978-1-6684-5422-0.ch014
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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 VerificationJournal of Personalized Medicine 2022; 12(6): 963 doi: 10.3390/jpm12060963
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Bum-Joo Cho, Chang Seok Bang. Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or HelpAmerican Journal of Gastroenterology 2020; 115(1): 70 doi: 10.14309/ajg.0000000000000476
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Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik. Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test AccuracyJournal of Medical Internet Research 2021; 23(8): e29682 doi: 10.2196/29682
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Yu. P. Uspenskiy, N. V. Baryshnikova, A. A. Ershova. Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsiaMedical alphabet 2022; (12): 27 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 DiseaseIEEE Access 2022; 10: 102223 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 ApproachApplied Sciences 2023; 13(18): 10116 doi: 10.3390/app131810116
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Mirko Jerber Rodríguez Mallma, Marcos Vilca-Aguilar, Luis Zuloaga-Rotta, Rubén Borja-Rosales, María Salas-Ojeda, David Mauricio. Machine Learning Approach for Analyzing 3-Year Outcomes of Patients with Brain Arteriovenous Malformation (AVM) after Stereotactic Radiosurgery (SRS)Diagnostics 2023; 14(1): 22 doi: 10.3390/diagnostics14010022
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Shenglan Wang. 2020 International Conference on Applications and Techniques in Cyber IntelligenceAdvances in Intelligent Systems and Computing 2021; 1244: 341 doi: 10.1007/978-3-030-53980-1_51
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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 configurationsEndoscopy International Open 2021; 9(05): E741 doi: 10.1055/a-1388-6735
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Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar. Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disordersArtificial Intelligence in Medicine 2022; 134: 102435 doi: 10.1016/j.artmed.2022.102435
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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-AnalysisJournal of Personalized Medicine 2022; 12(4): 644 doi: 10.3390/jpm12040644
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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 reviewWorld Journal of Gastroenterology 2021; 27(40): 6794-6824 doi: 10.3748/wjg.v27.i40.6794
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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 imagesJournal of Dental Sciences 2024; 19(1): 254 doi: 10.1016/j.jds.2023.04.022
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Thomas Boillat, Faisal A Nawaz, Homero Rivas. Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based StudyJMIR Medical Education 2022; 8(2): e34973 doi: 10.2196/34973
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