BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
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 AIDiagnostics 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 analysisDIGITAL 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 studyHeliyon 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 DiseasesGastrointestinal Endoscopy Clinics of North America 2025; 35(1): 159 doi: 10.1016/j.giec.2024.04.008
5
Matthias Grade, Verena Uslar. Telemedizin und KI-gestützte Diagnostik im Alltag der ViszeralmedizinDie Chirurgie 2025; 96(1): 23 doi: 10.1007/s00104-024-02213-8
6
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology2023; : 49 doi: 10.1007/978-3-031-21506-3_3
7
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 2Artificial Intelligence 2024; 29 doi: 10.5772/intechopen.115047
8
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 PreventionJournal of Personalized Medicine 2024; 14(1): 107 doi: 10.3390/jpm14010107
9
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 ReviewDiagnostics 2024; 14(17): 1844 doi: 10.3390/diagnostics14171844
10
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 StudyJMIR AI 2024; 3: e50525 doi: 10.2196/50525
11
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 breastTechnology and Health Care 2024; 32(3): 1609 doi: 10.3233/THC-230671
12
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 reviewTherapeutic Advances in Gastroenterology 2025; 18 doi: 10.1177/17562848251321915
13
Wenly Ruan, Priya Narula, Douglas S. Fishman. Upskilling Pediatric IleocolonoscopyGastrointestinal Endoscopy Clinics of North America 2023; 33(2): 253 doi: 10.1016/j.giec.2022.11.006
14
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 UpdateCancers 2023; 15(3): 708 doi: 10.3390/cancers15030708
15
Shreya Reddy, Avneet Shaheed, Yui Seo, Rakesh Patel. Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology SlidesCureus 2024;  doi: 10.7759/cureus.56740
16
Anish Gupta, Apeksha Koul, Yogesh Kumar. Pancreatic Cancer Detection using Machine and Deep Learning Techniques2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) 2022; : 151 doi: 10.1109/ICIPTM54933.2022.9754010
17
Usman Ahmad Usmani, Ari Happonen, Junzo Watada, Jayden Khakurel. Proceedings of Eighth International Congress on Information and Communication TechnologyLecture Notes in Networks and Systems 2023; 694: 1085 doi: 10.1007/978-981-99-3091-3_89
18
Alan N Barkun, Daniel von Renteln, Hamid Sadri. Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer ScreeningJournal of the Canadian Association of Gastroenterology 2023; 6(3): 97 doi: 10.1093/jcag/gwad014
19
Jie Zhang, Adrian Dawkins. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?Ultrasound Quarterly 2024; 40(2): 93 doi: 10.1097/RUQ.0000000000000680
20
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 ReviewLife 2023; 13(4): 1031 doi: 10.3390/life13041031
21
Kalya M. Kee, Peter J. Schulz, Joseph J. Y. Sung. The Impact of Artificial Intelligence on SocietiesStudies in Neuroscience, Psychology and Behavioral Economics 2025; : 71 doi: 10.1007/978-3-031-70355-3_6
22
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
23
Joseph J.Y. Sung. Artificial Intelligence in Medicine2024; : 1 doi: 10.1016/B978-0-323-95068-8.00001-7
24
Gurkamal Singh Nijjar, Smriti Kaur Aulakh, Rajinderpal Singh, Sohbat Kaur Chandi. Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive OverviewCureus 2024;  doi: 10.7759/cureus.62946
25
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 StudyESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765620
26
Jonathan S. Galati, Kevin Lin, Seth A. Gross. Recent advances in devices and technologies that might prove revolutionary for colonoscopy proceduresExpert Review of Medical Devices 2023; 20(12): 1087 doi: 10.1080/17434440.2023.2280773
27
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopySeminars in Colon and Rectal Surgery 2024; 35(1): 101007 doi: 10.1016/j.scrs.2024.101007
28
M. S. Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S. Gowda, Sahana Patil. Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and ProspectsJournal of Medical Signals & Sensors 2024; 14(9) doi: 10.4103/jmss.jmss_7_24
29
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 directionArtificial Intelligence in Gastroenterology 2022; 3(3): 88-95 doi: 10.35712/aig.v3.i3.88
30
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 VaricesJournal of Personalized Medicine 2024; 14(9): 1012 doi: 10.3390/jpm14091012
31
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 studyWiener Medizinische Wochenschrift 2024; 174(9-10): 173 doi: 10.1007/s10354-023-01020-w
32
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 BiobankScience of The Total Environment 2024; 949: 175047 doi: 10.1016/j.scitotenv.2024.175047
33
George Peek, Sharona B. Ross. The future implementation of artificial intelligence technology in esophageal surgeryArtificial Intelligence Surgery 2023; 3(4): 249 doi: 10.20517/ais.2023.56
34
Chin Hock Nicholas Tee, Rajesh Ravi, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in Barrett’s esophagusArtificial Intelligence in Gastroenterology 2023; 4(2): 28-35 doi: 10.35712/aig.v4.i2.28
35
Peter Stawinski, Karolina Dziadkowiec, Lily Kuo, Juan Echavarria, Shreyas Saligram. Barrett’s Esophagus: An Updated ReviewDiagnostics 2023; 13(2): 321 doi: 10.3390/diagnostics13020321
36
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 PrognosisJournal of Clinical Medicine 2023; 12(23): 7380 doi: 10.3390/jcm12237380
37
Sasidhar Alavala, Subrahmanyam Gorthi. Certainty in Uncertainty! An Improved GI Bleeding Detection Pipeline with Uncertainty EstimationProceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing 2024; : 1 doi: 10.1145/3702250.3702271
38
Inna Novak, Lee M. Bass. Gastrointestinal Bleeding in ChildrenGastrointestinal Endoscopy Clinics of North America 2023; 33(2): 401 doi: 10.1016/j.giec.2022.11.003
39
Peng-yue Zhao, Ke Han, Ren-qi Yao, Chao Ren, Xiao-hui Du. Application Status and Prospects of Artificial Intelligence in Peptic UlcersFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.894775
40
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 ReviewJournal of Clinical Medicine 2024; 13(16): 4818 doi: 10.3390/jcm13164818
41
Srinadh Komanduri, Amrita Sethi, V. Raman Muthusamy. Future Implications of Innovation in Gastroenterology for Clinical Practice: A Call to ActionAmerican Journal of Gastroenterology 2023; 118(8): 1307 doi: 10.14309/ajg.0000000000002194
42
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 GastroenterologyCureus 2024;  doi: 10.7759/cureus.51848
43
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 fundoplicationJournal of Gastrointestinal Surgery 2025; : 102029 doi: 10.1016/j.gassur.2025.102029
44
Nabil M. Mansour. Artificial Intelligence in ColonoscopyCurrent Gastroenterology Reports 2023; 25(6): 122 doi: 10.1007/s11894-023-00872-x
45
Leanne M. Williams, William T. Carpenter, Carrie Carretta, Evangelos Papanastasiou, Uma Vaidyanathan. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practiceCNS Spectrums 2024; 29(1): 26 doi: 10.1017/S1092852923002420
46
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 ImagesJournal of Magnetic Resonance Imaging 2023; 57(2): 472 doi: 10.1002/jmri.28300
47
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 imagingBiomedicine & Pharmacotherapy 2023; 158: 114182 doi: 10.1016/j.biopha.2022.114182
48
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 practiceFrontiers in Public Health 2023; 11 doi: 10.3389/fpubh.2023.1301563
49
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 StudySSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4188558
50
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 polypsGastrointestinal Endoscopy 2024; 100(6): 1090 doi: 10.1016/j.gie.2024.06.040
51
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
52
Sami Elamin, Shreya Johri, Pranav Rajpurkar, Enrik Geisler, Tyler M Berzin. From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasetsJournal of the Canadian Association of Gastroenterology 2025; 8(Supplement_2): S81 doi: 10.1093/jcag/gwae041
53
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 diseaseArtificial Intelligence in Medical Imaging 2022; 3(3): 70-86 doi: 10.35711/aimi.v3.i3.70
54
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 studyeClinicalMedicine 2024; 78: 102940 doi: 10.1016/j.eclinm.2024.102940
55
Jiajie Zhou, Wei Song, Yeliu Liu, Xiaoming Yuan. An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learningPeerJ Computer Science 2024; 10: e2059 doi: 10.7717/peerj-cs.2059
56
Constantine M. Poulos, Ryan Cassidy, Eamon Khatibifar, Erik Holzwanger, Lana Schumacher. The current state of artificial intelligence in robotic esophageal surgeryMini-invasive Surgery 2025;  doi: 10.20517/2574-1225.2024.42
57
Nisha Ganesh, Stephen B Hanauer, Parambir S Dulai. The importance of predicting patient responses to monoclonal antibodies for Crohn’s diseaseExpert Opinion on Biological Therapy 2023; 23(10): 941 doi: 10.1080/14712598.2023.2252339
58
Mentore Ribolsi, Gianluca Andrisani, Francesco Maria Di Matteo, Michele Cicala. Achalasia, from diagnosis to treatmentExpert Review of Gastroenterology & Hepatology 2023; 17(1): 21 doi: 10.1080/17474124.2022.2163236
59
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology EnterpriseJournal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
60
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 HealthcareJournal of Personalized Medicine 2023; 13(8): 1214 doi: 10.3390/jpm13081214
61
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 systemFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1393815
62
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 EndoscopyJournal of Clinical Medicine 2025; 14(2): 549 doi: 10.3390/jcm14020549
63
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 AchalasiaRussian Journal of Gastroenterology, Hepatology, Coloproctology 2024; 34(5): 32 doi: 10.22416/1382-4376-2024-34-5-32-39
64
Anlon J Saji, Gopika Pushpan, Riny Rajan, Nourin Fathima N, Manjima Anoop. Advanced Endoscopic Precision:Focal Modulation Guided CNNs for Targeted Diagnosis of GI Anomalies2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) 2024; : 341 doi: 10.1109/ICCPCT61902.2024.10673322
65
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 dataAdvances in Medical Sciences 2025; 70(1): 1 doi: 10.1016/j.advms.2024.10.001
66
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 tuberculosisJournal of Gastroenterology and Hepatology 2025; 40(1): 115 doi: 10.1111/jgh.16788
67
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 HepatologyDiagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
68
Alberto Savino, Emanuele Rondonotti, Simone Rocchetto, Alessandra Piagnani, Niccolò Bina, Pasquale Di Domenico, Francesco Segatta, Franco Radaelli. GI genius endoscopy module: a clinical profileExpert Review of Medical Devices 2024; 21(5): 359 doi: 10.1080/17434440.2024.2342508
69
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 FindingsJournal of Experimental and Clinical Surgery 2024; 17(4): 209 doi: 10.18499/2070-478X-2024-17-4-209-216
70
Sonja Skiljic, Dino Budrovac, Ana Cicvaric, Nenad Neskovic, Slavica Kvolik. Advances in Analgosedation and Periprocedural Care for Gastrointestinal EndoscopyLife 2023; 13(2): 473 doi: 10.3390/life13020473
71
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 CancersCureus 2024;  doi: 10.7759/cureus.75713
72
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 fibrosisJournal of Digestive Diseases 2024; 25(8): 476 doi: 10.1111/1751-2980.13308
73
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 studyAmerican Journal of Otolaryngology 2023; 44(2): 103695 doi: 10.1016/j.amjoto.2022.103695
74
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 bleedingSurgical Endoscopy 2023; 37(10): 7658 doi: 10.1007/s00464-023-10273-w
75
Georgios Zacharakis, Abdulaziz Almasoud. Using of artificial intelligence: Current and future applications in colorectal cancer screeningWorld Journal of Gastroenterology 2022; 28(24): 2778-2781 doi: 10.3748/wjg.v28.i24.2778
76
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 manometryScientific Reports 2025; 15(1) doi: 10.1038/s41598-024-83768-8
77
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 MedicineDiagnostics 2023; 13(18): 2992 doi: 10.3390/diagnostics13182992
78
T. A. Sadulaeva, L. A. Edilgireeva, M. B. Bimurzaeva, A. O. Morozov. Use of artificial intelligence in diagnostic cystoscopy of bladder cancerCancer Urology 2023; 19(2): 146 doi: 10.17650/1726-9776-2023-19-2-148-152
79
Palak Handa, Nidhi Goel, Sreedevi Indu, Deepak Gunjan. AI-KODA score application for cleanliness assessment in video capsule endoscopy framesMinimally Invasive Therapy & Allied Technologies 2024; 33(5): 311 doi: 10.1080/13645706.2024.2390879
80
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative reviewArtificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117
81
Victoria S. Jiang, Zoran J. Pavlovic, Eduardo Hariton. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive TechnologiesObstetrics and Gynecology Clinics of North America 2023; 50(4): 747 doi: 10.1016/j.ogc.2023.09.003