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For: Alagappan M, Brown JRG, Mori Y, Berzin TM. Artificial intelligence in gastrointestinal endoscopy: The future is almost here. World J Gastrointest Endosc 2018; 10(10): 239-249 [PMID: 30364792 DOI: 10.4253/wjge.v10.i10.239]
URL: https://www.wjgnet.com/1948-5190/full/v10/i10/239.htm
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Number Citing Articles
1
Daniela Guerrero Vinsard, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Amit Rastogi, Ulas Bagci, Douglas K. Rex, Michael B. Wallace. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal Endoscopy 2019; 90(1) doi: 10.1016/j.gie.2019.03.019
2
Libin Lan, Chunxiao Ye. Recurrent generative adversarial networks for unsupervised WCE video summarization. Knowledge-Based Systems 2021; 222 doi: 10.1016/j.knosys.2021.106971
3
Ming-De Li, Ze-Rong Huang, Quan-Yuan Shan, Shu-Ling Chen, Ning Zhang, Hang-Tong Hu, Wei Wang. Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps. BMC Gastroenterology 2022; 22(1) doi: 10.1186/s12876-022-02605-2
4
Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar. Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. Computers in Biology and Medicine 2025; 185 doi: 10.1016/j.compbiomed.2024.109503
5
Chia-Pei Tang, Paul P. Shao, Yu-Hsi Hsieh, Felix W. Leung. A review of water exchange and artificial intelligence in improving adenoma detection. Tzu Chi Medical Journal 2021; 33(2) doi: 10.4103/tcmj.tcmj_88_20
6
Mohit Rishi, Jaskarin Kaur, Mark Ulanja, Nicholas Manasewitsch, Molly Svendsen, Abubaker Abdalla, Shashank Vemala, Julie Kewanyama, Karmjit Singh, Nirmal Singh, Nageshwara Gullapalli, Eric Osgard. Randomized, double-blinded, placebo-controlled trial evaluating simethicone pretreatment with bowel preparation during colonoscopy. World Journal of Gastrointestinal Endoscopy 2019; 11(6): 413-423 doi: 10.4253/wjge.v11.i6.413
7
Vatsal Patel, Marium N. Khan, Aman Shrivastava, Kamran Sadiq, S. Asad Ali, Sean R. Moore, Donald E. Brown, Sana Syed. Artificial Intelligence Applied to Gastrointestinal Diagnostics. Journal of Pediatric Gastroenterology and Nutrition 2020; 70(1) doi: 10.1097/MPG.0000000000002507
8
G. Cummins. Smart pills for gastrointestinal diagnostics and therapy. Advanced Drug Delivery Reviews 2021; 177 doi: 10.1016/j.addr.2021.113931
9
Xiaoming Xu, Hualei Chen, Yun Chen, Lijuan Fan. Application of artificial intelligence in eosinophilic esophagitis. Frontiers in Immunology 2025; 16 doi: 10.3389/fimmu.2025.1712113
10
Shakil Ahmed, Peter R. Galle, Helmut Neumann. Molecular endoscopic imaging: the future is bright. Therapeutic Advances in Gastrointestinal Endoscopy 2019; 12 doi: 10.1177/2631774519867175
11
Mahesh Kumar Goenka, Shivaraj Afzalpurkar, Saurabh Jejurikar, Gajanan Ashokrao Rodge, Awanish Tiwari. Role of artificial intelligence–guided esophagogastroduodenoscopy in assessing the procedural completeness and quality. Indian Journal of Gastroenterology 2023;  doi: 10.1007/s12664-022-01294-9
12
Guanyu Zhou, Xun Xiao, Mengtian Tu, Peixi Liu, Dan Yang, Xiaogang Liu, Renyi Zhang, Liangping Li, Shan Lei, Han Wang, Yan Song, Pu Wang, Wajid Mumtaz. Computer aided detection for laterally spreading tumors and sessile serrated adenomas during colonoscopy. PLOS ONE 2020; 15(4) doi: 10.1371/journal.pone.0231880
13
Rohan Kalahasty, Gayathri Yerrapragada, Jieun Lee, Keerthy Gopalakrishnan, Avneet Kaur, Pratyusha Muddaloor, Divyanshi Sood, Charmy Parikh, Jay Gohri, Gianeshwaree Alias Rachna Panjwani, Naghmeh Asadimanesh, Rabiah Aslam Ansari, Swetha Rapolu, Poonguzhali Elangovan, Shiva Sankari Karuppiah, Vijaya M. Dasari, Scott A. Helgeson, Venkata S. Akshintala, Shivaram P. Arunachalam. A Novel You Only Listen Once (YOLO) Deep Learning Model for Automatic Prominent Bowel Sounds Detection: Feasibility Study in Healthy Subjects. Sensors 2025; 25(15) doi: 10.3390/s25154735
14
Nikolaos Davaris, Anke Lux, Nazila Esmaeili, Alfredo Illanes, Axel Boese, Michael Friebe, Christoph Arens. Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy. Cancers 2020; 12(1) doi: 10.3390/cancers12010248
15
Yu-Hsi Hsieh, Felix W. Leung. An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection. Expert Review of Gastroenterology & Hepatology 2019; 13(12) doi: 10.1080/17474124.2019.1694903
16
Wei-Lun Chao, Hanisha Manickavasagan, Somashekar G. Krishna. Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians. Diagnostics 2019; 9(3) doi: 10.3390/diagnostics9030099
17
Xiangyu Wei, Peipei Xi, Minjie Chen, Ya Wen, Hao Wu, Li Wang, Yujuan Zhu, Yile Ren, Zhifeng Gu. Capsule robots for the monitoring, diagnosis, and treatment of intestinal diseases. Materials Today Bio 2024; 29 doi: 10.1016/j.mtbio.2024.101294
18
晨阳 郭. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal Tumors. Advances in Clinical Medicine 2022; 12(11) doi: 10.12677/ACM.2022.12111512
19
Christoph Römmele, Robert Mendel, Caroline Barrett, Hans Kiesl, David Rauber, Tobias Rückert, Lisa Kraus, Jakob Heinkele, Christine Dhillon, Bianca Grosser, Friederike Prinz, Julia Wanzl, Carola Fleischmann, Sandra Nagl, Elisabeth Schnoy, Jakob Schlottmann, Evan S. Dellon, Helmut Messmann, Christoph Palm, Alanna Ebigbo. An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-14605-z
20
Lukas Pfeifer, Clemens Neufert, Moritz Leppkes, Maximilian J. Waldner, Michael Häfner, Albert Beyer, Arthur Hoffman, Peter D. Siersema, Markus F. Neurath, Timo Rath. Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience. European Journal of Gastroenterology & Hepatology 2021; 33(1S) doi: 10.1097/MEG.0000000000002209
21
Jie Zhou, Lianlian Wu, Xinyue Wan, Lei Shen, Jun Liu, Jun Zhang, Xiaoda Jiang, Zhengqiang Wang, Shijie Yu, Jian Kang, Ming Li, Shan Hu, Xiao Hu, Dexin Gong, Di Chen, Liwen Yao, Yijie Zhu, Honggang Yu. A novel artificial intelligence system for the assessment of bowel preparation (with video). Gastrointestinal Endoscopy 2020; 91(2) doi: 10.1016/j.gie.2019.11.026
22
Aldo Marzullo, Sara Moccia, Francesco Calimeri, Elena De Momi. Artificial Intelligence in Medicine. 2021;  doi: 10.1007/978-3-030-58080-3_164-1
23
Frederick H. Koh, Jasmine Ladlad, Fung-Joon Foo, Winson J. Tan, Sharmini S. Sivarajah, Leonard M. L. Ho, Jia-Lin Ng, Frederick H. Koh, Cheryl Chong, Darius Aw, Juinn-Haur Kam, Alvin Y. H. Tan, Choon-Chieh Tan, Baldwin P. M. Yeung, Wai-Keong Wong, Bin-Chet Toh, Jasmine Ladlad, Jason Barco, Koy-Min Chue, Faith Leong, Christopher Kong, Cui-Li Lin, Eng-Kiong Teo, Yi-Kang Ng, Tze-Tong Tey, Marianne A. De-Roza, Jonathan Lum, Xiaoke Li, Jinliang Li, Nazeemah B. Mohd-Nor, Siok-Peng Ng, Eng-Kiong Teo, Cui-Li Lin, Fung-Joon Foo. Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore. Surgical Endoscopy 2023; 37(1) doi: 10.1007/s00464-022-09470-w
24
Oliver Maassen, Sebastian Fritsch, Julia Palm, Saskia Deffge, Julian Kunze, Gernot Marx, Morris Riedel, Andreas Schuppert, Johannes Bickenbach. Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2021; 23(3) doi: 10.2196/26646
25
Sameena Pathan, Alen Shahini, Massimo Salvi, Tanweer Ali, Jovita Relasha Lewis, Filippo Molinari, U. Rajendra Acharya. Artificial Intelligence in Gastrointestinal Disease Diagnosis: A Systematic Review of Endoscopy, Histology, and Radiology Applications. WIREs Data Mining and Knowledge Discovery 2026; 16(1) doi: 10.1002/widm.70074
26
Michelle Viscaino, Javier Torres Bustos, Pablo Muñoz, Cecilia Auat Cheein, Fernando Auat Cheein. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World Journal of Gastroenterology 2021; 27(38): 6399-6414 doi: 10.3748/wjg.v27.i38.6399
27
Rui Wang. Integrating Data-Oriented Intelligent Evaluation Framework Based Image Detection System. 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2022;  doi: 10.1109/ICAISS55157.2022.10010726
28
Jeremy R. Glissen Brown, Akbar K. Waljee, Yuichi Mori, Prateek Sharma, Tyler M. Berzin. Charting a path forward for clinical research in artificial intelligence and gastroenterology. Digestive Endoscopy 2022; 34(1) doi: 10.1111/den.13974
29
Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda. Role of Artificial Intelligence in Video Capsule Endoscopy. Diagnostics 2021; 11(7) doi: 10.3390/diagnostics11071192
30
Liangfu Li. Recognizing Polyps in Wireless Endoscopy Images Using Deep Stacked Auto Encoder With Constraint Image Model in Flexible Medical Sensor Platform. IEEE Access 2020; 8 doi: 10.1109/ACCESS.2020.2981765
31
Uri Ladabaum, Jason A. Dominitz, Charles Kahi, Robert E. Schoen. Strategies for Colorectal Cancer Screening. Gastroenterology 2020; 158(2) doi: 10.1053/j.gastro.2019.06.043
32
Aldo Marzullo, Sara Moccia, Francesco Calimeri, Elena De Momi. Artificial Intelligence in Medicine. 2022;  doi: 10.1007/978-3-030-64573-1_164
33
Md Abrar Shahriar Kabir, Sadia Binte Zahid, Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed. Human-Centric Smart Computing. Smart Innovation, Systems and Technologies 2025; 440 doi: 10.1007/978-981-96-3420-0_9
34
Edward J Ciaccio, Anne R Lee, Jessica Lebovits, Randi L Wolf, Suzanne K Lewis. Physical and psychological symptoms and survey importance in celiac disease. World Journal of Gastrointestinal Endoscopy 2024; 16(12): 632-639 doi: 10.4253/wjge.v16.i12.632
35
Shabana F. Pasha, Jean-Christophe Saurin. Artificial Intelligence in Capsule Endoscopy. 2023;  doi: 10.1016/B978-0-323-99647-1.00017-4
36
Sudhir Sornapudi, Frank Meng, Steven Yi. Region-Based Automated Localization of Colonoscopy and Wireless Capsule Endoscopy Polyps. Applied Sciences 2019; 9(12) doi: 10.3390/app9122404
37
Mohamed Hussein, Juana González-Bueno Puyal, Peter Mountney, Laurence B Lovat, Rehan Haidry. Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey. World Journal of Gastroenterology 2020; 26(38): 5784-5796 doi: 10.3748/wjg.v26.i38.5784
38
Kamyab Keshtkar, Abbas Keshtkar, Alireza Safarpour. Classifying colorectal cancer or colorectal polyps in endoscopic setting using convolutional neural network: protocol for a systematic review and meta-analysis. F1000Research 2020; 9 doi: 10.12688/f1000research.25548.1
39
Umid K Shrestha. Emerging role of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology 2025; 31(39): 111495 doi: 10.3748/wjg.v31.i39.111495
40
Erik A. Holzwanger, Mohammad Bilal, Jeremy R. Glissen Brown, Shailendra Singh, Aymeric Becq, Kenneth Ernest-Suarez, Tyler M. Berzin. Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy. Endoscopy 2021; 53(09) doi: 10.1055/a-1302-2942
41
Peixi Liu, Pu Wang, Jeremy R. Glissen Brown, Tyler M. Berzin, Guanyu Zhou, Weihui Liu, Xun Xiao, Ziyang Chen, Zhihong Zhang, Chao Zhou, Lei Lei, Fei Xiong, Liangping Li, Xiaogang Liu. The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized study. Therapeutic Advances in Gastroenterology 2020; 13 doi: 10.1177/1756284820979165
42
Emanuele Sinagra, Matteo Badalamenti, Marcello Maida, Marco Spadaccini, Roberta Maselli, Francesca Rossi, Giuseppe Conoscenti, Dario Raimondo, Socrate Pallio, Alessandro Repici, Andrea Anderloni. Use of artificial intelligence in improving adenoma detection rate during colonoscopy: Might both endoscopists and pathologists be further helped. World Journal of Gastroenterology 2020; 26(39): 5911-5918 doi: 10.3748/wjg.v26.i39.5911
43
Claudia Diaconu, Monica State, Mihaela Birligea, Madalina Ifrim, Georgiana Bajdechi, Teodora Georgescu, Bogdan Mateescu, Theodor Voiosu. The Role of Artificial Intelligence in Monitoring Inflammatory Bowel Disease—The Future Is Now. Diagnostics 2023; 13(4) doi: 10.3390/diagnostics13040735
44
Ji-Hwan Kim, Jung-Woo Chae, Hyun Chin Cho, Hyun-Chong Cho. Enhancing Robustness in Gastroscopy Analysis With Poisson–Gaussian Noise-Based Adversarial Augmentation. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2025.3631278
45
Prithvansh Malhotra, Sanjeev Gianchandani, Muskaan Singhal, R. K. Shinde, Jaideep Reddy R. Integration of AI in Real-Time Colonoscopy Workflow Challenges and Benefits. 2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI) 2025;  doi: 10.1109/IDICAIHEI65991.2025.11377886
46
Jeremy R. Glissen Brown, Tyler M. Berzin. Adoption of New Technologies. Gastrointestinal Endoscopy Clinics of North America 2021; 31(4) doi: 10.1016/j.giec.2021.05.010
47
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
48
María José Aguilera-Chuchuca, Sergio A. Sánchez-Luna, Begoña González Suárez, Kenneth Ernest-Suárez, Andres Gelrud, Tyler M. Berzin. The emerging role of artificial intelligence in gastrointestinal endoscopy: a review. Gastroenterología y Hepatología (English Edition) 2022; 45(6) doi: 10.1016/j.gastre.2021.11.001
49
Omar Elshaarawy, Mohamed Alboraie, Mohamed El-Kassas. Artificial Intelligence in endoscopy: A future poll. Arab Journal of Gastroenterology 2024; 25(1) doi: 10.1016/j.ajg.2023.11.008
50
Arushi Kohli, Erik A Holzwanger, Alexander N Levy. Emerging use of artificial intelligence in inflammatory bowel disease. World Journal of Gastroenterology 2020; 26(44): 6923-6928 doi: 10.3748/wjg.v26.i44.6923
51
Alhassan Ahmed, Agnieszka Brychcy, Mohamed Abouzid, Martin Witt, Elżbieta Kaczmarek. Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study. Journal of Personalized Medicine 2023; 13(6) doi: 10.3390/jpm13060962
52
Liucheng Li, Fang Lv, Chen Du, Lianjun Yang, Chengzhou Pa, Yunrui Dai. Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring. Frontiers in Physiology 2026; 17 doi: 10.3389/fphys.2026.1778235
53
Emanuele Rondonotti, Dhanai Di Paolo, Erik Rosa Rizzotto, Costanza Alvisi, Elisabetta Buscarini, Marco Spadaccini, Giacomo Tamanini, Silvia Paggi, Arnaldo Amato, Giulia Scardino, Samanta Romeo, Saverio Alicante, Fabio Ancona, Ennio Guido, Vincenza Marzo, Fabio Chicco, Simona Agazzi, Cesare Rosa, Loredana Correale, Alessandro Repici, Cesare Hassan, Franco Radaelli. Efficacy of a computer-aided detection system in a fecal immunochemical test-based organized colorectal cancer screening program: a randomized controlled trial (AIFIT study). Endoscopy 2022; 54(12) doi: 10.1055/a-1849-6878
54
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
55
Zheng Wang, Zhaoying Li, Ying Xiao, Xiaowei Liu, Muzhou Hou, Shuijiao Chen. Three feature streams based on a convolutional neural network for early esophageal cancer identification. Multimedia Tools and Applications 2022; 81(26) doi: 10.1007/s11042-022-13135-0
56
S Rakesh Kumar, Manas Kumar Panigrahi, Prakash Kumar Sasmal. Artificial intelligence in upper gastrointestinal bleeding: Can machine learning predict endotherapy requirements?. Artificial Intelligence in Gastrointestinal Endoscopy 2026; 7(1): 114426 doi: 10.37126/aige.v7.i1.114426
57
Hans-Dieter Allescher, Vincens Weingart. Optimizing Screening Colonoscopy: Strategies and Alternatives. Visceral Medicine 2019; 35(4) doi: 10.1159/000501835
58
Qicong Chen, Ming Cai, Xinjuan Fan, Wenbin Liu, Gang Fang, Su Yao, Yao Xu, Qian Li, Yingnan Zhao, Ke Zhao, Zaiyi Liu, Zhihua Chen. An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer. BMC Cancer 2023; 23(1) doi: 10.1186/s12885-023-11289-0
59
Wenyi Zhou, Yixing Wang, Yuhong Wang, Yongluo Jiang, Wencan He, Binbin Xu. Limited discriminative performance of endoscopic deep learning for Helicobacter pylori status assessment in gastric cancer patients: a retrospective study. Frontiers in Gastroenterology 2026; 5 doi: 10.3389/fgstr.2026.1878650
60
Ji Young Lee, Jooyoung Park, Hyo Jeong Lee, Hana Park, Eun Hyo Jin, Kanggil Park, Ji Eun Baek, Dong‐Hoon Yang, Seung Wook Hong, Namkug Kim, Jeong‐Sik Byeon. Automatic assessment of bowel preparation by an artificial intelligence model and its clinical applicability. Journal of Gastroenterology and Hepatology 2024; 39(9) doi: 10.1111/jgh.16618
61
Israa Ahmed Qutob, Asmaa Soliman, Rayhana Trabelsi, Mohamed Karam Allah Elkholy, Ali Salah Elgahamy, Maha Abuismail, Mohamed Nabil Hamouda, Islam Elhaddad, Ahmed Abdelaziz Eldaly, Abdullrahman Elgarawany, Sohaila O. Boshirtela, Sumaya Mohammed, Sally Seliem. Improving Colorectal Cancer Detection with AI-Assisted Colonoscopy: A Systematic Review and Meta-Analysis of 38 RCTs with GRADE Assessment. Journal of Gastrointestinal Cancer 2025; 56(1) doi: 10.1007/s12029-025-01353-2
62
Pieter Sinonquel, Tom Eelbode, Peter Bossuyt, Frederik Maes, Raf Bisschops. Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy. Digestive Endoscopy 2021; 33(2) doi: 10.1111/den.13888
63
Yongjie Liang, Yajun Zhou. Computing cluster and artificial intelligence in the analysis and application of college students' physical exercise behavior. 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2021;  doi: 10.1109/ICECA52323.2021.9676132
64
Subhashree Mohapatra, Tripti Swarnkar, Jayashankar Das. Handbook of Deep Learning in Biomedical Engineering. 2021;  doi: 10.1016/B978-0-12-823014-5.00006-5
65
James K. Ruffle, Adam D. Farmer, Qasim Aziz. Precision Medicine for Investigators, Practitioners and Providers. 2020;  doi: 10.1016/B978-0-12-819178-1.00033-2
66
Hasan Maulahela, Nagita Gianty Annisa. Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding. Artificial Intelligence in Gastroenterology 2022; 3(1): 13-20 doi: 10.35712/aig.v3.i1.13
67
Prerna Singh, Priti Chakurkar. Deep learning based Wireless Capsule Endoscopy for Small Intestinal Lesions Detection and personalized treatment pathways. 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023;  doi: 10.1109/ICCCNT56998.2023.10307509
68
Hong Jin Yoon, Seunghyup Kim, Jie-Hyun Kim, Ji-Soo Keum, Sang-Il Oh, Junik Jo, Jaeyoung Chun, Young Hoon Youn, Hyojin Park, In Gyu Kwon, Seung Ho Choi, Sung Hoon Noh. A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer. Journal of Clinical Medicine 2019; 8(9) doi: 10.3390/jcm8091310
69
Ilona Vilkoite, Ivars Tolmanis, Hosams Abu Meri, Inese Polaka, Linda Mezmale, Linda Anarkulova, Marcis Leja, Aivars Lejnieks. The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy. Diagnostics 2023; 13(4) doi: 10.3390/diagnostics13040701
70
Zihan Nie, Muhao Xu, Zhiyong Wang, Xiaoqi Lu, Weiye Song. A Review of Application of Deep Learning in Endoscopic Image Processing. Journal of Imaging 2024; 10(11) doi: 10.3390/jimaging10110275
71
Joon Hyeon Park, Min Jae Yang, Ji Su Kim, Bumhee Park, Jin Hong Kim, Myung Hoon Sunwoo. Deep-Learning-Based Smartphone Application for Self-Diagnosis of Scleral Jaundice in Patients with Hepatobiliary and Pancreatic Diseases. Journal of Personalized Medicine 2021; 11(9) doi: 10.3390/jpm11090928
72
Xing-Wang Zhu, Jun Yan, Ying-Li He, Gang Liu, Xun Li. Application of deep learning based artificial intelligence technology in identification of colorectal polyps. World Chinese Journal of Digestology 2021; 29(20) doi: 10.11569/wcjd.v29.i20.1201
73
Smit S. Deliwala, Kewan Hamid, Mahmoud Barbarawi, Harini Lakshman, Yazan Zayed, Pujan Kandel, Srikanth Malladi, Adiraj Singh, Ghassan Bachuwa, Grigoriy E. Gurvits, Saurabh Chawla. Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis. International Journal of Colorectal Disease 2021; 36(11) doi: 10.1007/s00384-021-03929-3
74
Maria Giovanna Danieli, Silvia Brunetto, Luca Gammeri, Davide Palmeri, Ilaria Claudi, Yehuda Shoenfeld, Sebastiano Gangemi. Machine learning application in autoimmune diseases: State of art and future prospectives. Autoimmunity Reviews 2024; 23(2) doi: 10.1016/j.autrev.2023.103496
75
Subhashree Mohapatra, Janmenjoy Nayak, Manohar Mishra, Girish Kumar Pati, Bignaraj Naik, Tripti Swarnkar. Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease Detection. Interdisciplinary Sciences: Computational Life Sciences 2021; 13(2) doi: 10.1007/s12539-021-00417-8
76
Khalid M Bhatti, Zubair S Khanzada, Matta Kuzman, Syed M Ali, Syed Y Iftikhar, Peter Small. Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret’s Esophagus: A Meta-Analysis of Patient-Based Studies. Cureus 2021;  doi: 10.7759/cureus.15447
77
Yubo Tang, Sharmila Anandasabapathy, Rebecca Richards‐Kortum. Advances in optical gastrointestinal endoscopy: a technical review. Molecular Oncology 2021; 15(10) doi: 10.1002/1878-0261.12792
78
H.- D. Allescher, M. Mangold, V. Weingart. Künstliche Intelligenz in der Endoskopie – neue Wege zur Polypendetektion und Charakterisierung. Der Gastroenterologe 2021; 16(1) doi: 10.1007/s11377-020-00495-y
79
Vaibhav Wadhwa, Muthuraman Alagappan, Adalberto Gonzalez, Kapil Gupta, Jeremy R. Glissen Brown, Jonah Cohen, Mandeep Sawhney, Douglas Pleskow, Tyler M. Berzin. Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists. Endoscopy International Open 2020; 8(10) doi: 10.1055/a-1223-1926
80
Athanasia Mitsala, Christos Tsalikidis, Michail Pitiakoudis, Constantinos Simopoulos, Alexandra K. Tsaroucha. Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. Current Oncology 2021; 28(3) doi: 10.3390/curroncol28030149
81
Hannah Lee, Jun-Won Chung, Sung-Cheol Yun, Sung Woo Jung, Yeong Jun Yoon, Ji Hee Kim, Boram Cha, Mohd Azzam Kayasseh, Kyoung Oh Kim. Validation of Artificial Intelligence Computer-Aided Detection on Gastric Neoplasm in Upper Gastrointestinal Endoscopy. Diagnostics 2024; 14(23) doi: 10.3390/diagnostics14232706
82
George Doumat, Darine Daher, Nadim-Nicolas Ghanem, Beatrice Khater. Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study. Frontiers in Artificial Intelligence 2022; 5 doi: 10.3389/frai.2022.1015418
83
Huiyan Luo, Guoliang Xu, Chaofeng Li, Longjun He, Linna Luo, Zixian Wang, Bingzhong Jing, Yishu Deng, Ying Jin, Yin Li, Bin Li, Wencheng Tan, Caisheng He, Sharvesh Raj Seeruttun, Qiubao Wu, Jun Huang, De-wang Huang, Bin Chen, Shao-bin Lin, Qin-ming Chen, Chu-ming Yuan, Hai-xin Chen, Heng-ying Pu, Feng Zhou, Yun He, Rui-hua Xu. Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study. The Lancet Oncology 2019; 20(12) doi: 10.1016/S1470-2045(19)30637-0
84
María José Aguilera-Chuchuca, Sergio A. Sánchez-Luna, Begoña González Suárez, Kenneth Ernest-Suárez, Andres Gelrud, Tyler M. Berzin. El papel emergente de la inteligencia artificial en la endoscopia gastrointestinal: una revisión de la literatura. Gastroenterología y Hepatología 2022; 45(6) doi: 10.1016/j.gastrohep.2021.11.004
85
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