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] |
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URL: | https://www.wjgnet.com/1948-5190/full/v10/i10/239.htm |
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): 55 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: 106971 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: 109503 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): 108 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): 4 doi: 10.1097/MPG.0000000000002507
|
8 |
G. Cummins. Smart pills for gastrointestinal diagnostics and therapy. Advanced Drug Delivery Reviews 2021; 177: 113931 doi: 10.1016/j.addr.2021.113931
|
9 |
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
|
10 |
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
|
11 |
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): e0231880 doi: 10.1371/journal.pone.0231880
|
12 |
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): 248 doi: 10.3390/cancers12010248
|
13 |
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): 1153 doi: 10.1080/17474124.2019.1694903
|
14 |
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): 99 doi: 10.3390/diagnostics9030099
|
15 |
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: 101294 doi: 10.1016/j.mtbio.2024.101294
|
16 |
晨阳 郭. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal Tumors. Advances in Clinical Medicine 2022; 12(11): 10497 doi: 10.12677/ACM.2022.12111512
|
17 |
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
|
18 |
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): e662 doi: 10.1097/MEG.0000000000002209
|
19 |
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): 428 doi: 10.1016/j.gie.2019.11.026
|
20 |
Aldo Marzullo, Sara Moccia, Francesco Calimeri, Elena De Momi. Artificial Intelligence in Medicine. 2021; : 1 doi: 10.1007/978-3-030-58080-3_164-1
|
21 |
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): 165 doi: 10.1007/s00464-022-09470-w
|
22 |
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): e26646 doi: 10.2196/26646
|
23 |
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
|
24 |
Rui Wang. Integrating Data-Oriented Intelligent Evaluation Framework Based Image Detection System. 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2022; : 529 doi: 10.1109/ICAISS55157.2022.10010726
|
25 |
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): 4 doi: 10.1111/den.13974
|
26 |
Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda. Role of Artificial Intelligence in Video Capsule Endoscopy. Diagnostics 2021; 11(7): 1192 doi: 10.3390/diagnostics11071192
|
27 |
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: 60653 doi: 10.1109/ACCESS.2020.2981765
|
28 |
Uri Ladabaum, Jason A. Dominitz, Charles Kahi, Robert E. Schoen. Strategies for Colorectal Cancer Screening. Gastroenterology 2020; 158(2): 418 doi: 10.1053/j.gastro.2019.06.043
|
29 |
Aldo Marzullo, Sara Moccia, Francesco Calimeri, Elena De Momi. Artificial Intelligence in Medicine. 2022; : 939 doi: 10.1007/978-3-030-64573-1_164
|
30 |
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
|
31 |
Shabana F. Pasha, Jean-Christophe Saurin. Artificial Intelligence in Capsule Endoscopy. 2023; : 101 doi: 10.1016/B978-0-323-99647-1.00017-4
|
32 |
Sudhir Sornapudi, Frank Meng, Steven Yi. Region-Based Automated Localization of Colonoscopy and Wireless Capsule Endoscopy Polyps. Applied Sciences 2019; 9(12): 2404 doi: 10.3390/app9122404
|
33 |
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
|
34 |
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: 1086 doi: 10.12688/f1000research.25548.1
|
35 |
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): 937 doi: 10.1055/a-1302-2942
|
36 |
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
|
37 |
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
|
38 |
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): 735 doi: 10.3390/diagnostics13040735
|
39 |
Jeremy R. Glissen Brown, Tyler M. Berzin. Adoption of New Technologies. Gastrointestinal Endoscopy Clinics of North America 2021; 31(4): 743 doi: 10.1016/j.giec.2021.05.010
|
40 |
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
|
41 |
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): 492 doi: 10.1016/j.gastre.2021.11.001
|
42 |
Omar Elshaarawy, Mohamed Alboraie, Mohamed El-Kassas. Artificial Intelligence in endoscopy: A future poll. Arab Journal of Gastroenterology 2024; 25(1): 13 doi: 10.1016/j.ajg.2023.11.008
|
43 |
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
|
44 |
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): 962 doi: 10.3390/jpm13060962
|
45 |
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): 1171 doi: 10.1055/a-1849-6878
|
46 |
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
|
47 |
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): 38001 doi: 10.1007/s11042-022-13135-0
|
48 |
Hans-Dieter Allescher, Vincens Weingart. Optimizing Screening Colonoscopy: Strategies and Alternatives. Visceral Medicine 2019; 35(4): 215 doi: 10.1159/000501835
|
49 |
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
|
50 |
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): 1917 doi: 10.1111/jgh.16618
|
51 |
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): 242 doi: 10.1111/den.13888
|
52 |
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; : 1275 doi: 10.1109/ICECA52323.2021.9676132
|
53 |
Subhashree Mohapatra, Tripti Swarnkar, Jayashankar Das. Handbook of Deep Learning in Biomedical Engineering. 2021; : 25 doi: 10.1016/B978-0-12-823014-5.00006-5
|
54 |
James K. Ruffle, Adam D. Farmer, Qasim Aziz. Precision Medicine for Investigators, Practitioners and Providers. 2020; : 343 doi: 10.1016/B978-0-12-819178-1.00033-2
|
55 |
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
|
56 |
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; : 1 doi: 10.1109/ICCCNT56998.2023.10307509
|
57 |
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): 1310 doi: 10.3390/jcm8091310
|
58 |
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): 701 doi: 10.3390/diagnostics13040701
|
59 |
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): 275 doi: 10.3390/jimaging10110275
|
60 |
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): 928 doi: 10.3390/jpm11090928
|
61 |
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): 1201 doi: 10.11569/wcjd.v29.i20.1201
|
62 |
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): 2291 doi: 10.1007/s00384-021-03929-3
|
63 |
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): 103496 doi: 10.1016/j.autrev.2023.103496
|
64 |
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): 212 doi: 10.1007/s12539-021-00417-8
|
65 |
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
|
66 |
Yubo Tang, Sharmila Anandasabapathy, Rebecca Richards‐Kortum. Advances in optical gastrointestinal endoscopy: a technical review. Molecular Oncology 2021; 15(10): 2580 doi: 10.1002/1878-0261.12792
|
67 |
H.- D. Allescher, M. Mangold, V. Weingart. Künstliche Intelligenz in der Endoskopie – neue Wege zur Polypendetektion und Charakterisierung. Der Gastroenterologe 2021; 16(1): 3 doi: 10.1007/s11377-020-00495-y
|
68 |
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): E1379 doi: 10.1055/a-1223-1926
|
69 |
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): 1581 doi: 10.3390/curroncol28030149
|
70 |
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): 2706 doi: 10.3390/diagnostics14232706
|
71 |
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
|
72 |
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): 1645 doi: 10.1016/S1470-2045(19)30637-0
|
73 |
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): 492 doi: 10.1016/j.gastrohep.2021.11.004
|
74 |
Subhashree Mohapatra, Girish Kumar Pati, Manohar Mishra, Tripti Swarnkar. Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images. Ain Shams Engineering Journal 2023; 14(4): 101942 doi: 10.1016/j.asej.2022.101942
|
75 |
Daniel L. Raines, Douglas G. Adler. The Role of Provocative Testing and Localization of the Video Capsule Endoscope in the Management of Small Intestinal Bleeding. Gastrointestinal Endoscopy Clinics of North America 2021; 31(2): 317 doi: 10.1016/j.giec.2021.01.001
|
76 |
Haroon Wahab, Irfan Mehmood, Hassan Ugail, Arun Kumar Sangaiah, Khan Muhammad. Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities. Future Generation Computer Systems 2023; 143: 191 doi: 10.1016/j.future.2023.01.011
|
77 |
Pedro da S. Viana, Luana B. da Cruz, Domingos A. Dias, João Otávio Bandeira Diniz. Intelligent Systems. Lecture Notes in Computer Science 2025; 15414: 110 doi: 10.1007/978-3-031-79035-5_8
|
78 |
Yunru Bai, Guang Zhang, San Sun. Smart financial policy adjustment system based on multiple game theory and artificial intelligence. 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) 2021; : 1078 doi: 10.1109/ICOEI51242.2021.9453019
|
79 |
Fabio Martínez Carrillo, Lina Marcela Ruiz García, Luis Carlos Guayacan Chaparro. Mapas de atención para destacar pólipos potenciales durante la colonoscopia. Tecnura 2023; 27(75): 51 doi: 10.14483/22487638.18195
|
80 |
Sherman Picardo, Krish Ragunath. Artificial intelligence in endoscopy: the guardian angel is around the corner. Gastrointestinal Endoscopy 2020; 91(2): 340 doi: 10.1016/j.gie.2019.10.026
|
81 |
Rogelio García-Aguirre, Luis Torres-Treviño, Eva María Navarro-López, José Alberto González-González. Advances in Computational Intelligence. Lecture Notes in Computer Science 2022; 13612: 297 doi: 10.1007/978-3-031-19493-1_24
|
82 |
Pu Wang, Tyler M Berzin, Jeremy Romek Glissen Brown, Shishira Bharadwaj, Aymeric Becq, Xun Xiao, Peixi Liu, Liangping Li, Yan Song, Di Zhang, Yi Li, Guangre Xu, Mengtian Tu, Xiaogang Liu. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut 2019; 68(10): 1813 doi: 10.1136/gutjnl-2018-317500
|
83 |
Pu Wang, Peixi Liu, Jeremy R. Glissen Brown, Tyler M. Berzin, Guanyu Zhou, Shan Lei, Xiaogang Liu, Liangping Li, Xun Xiao. Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. Gastroenterology 2020; 159(4): 1252 doi: 10.1053/j.gastro.2020.06.023
|
84 |
Romany F. Mansour, Nada M. Alfar, Sayed Abdel‐Khalek, Maha Abdelhaq, Rashid A. Saeed, Raed Alsaqour. Optimal deep learning based fusion model for biomedical image classification. Expert Systems 2022; 39(3) doi: 10.1111/exsy.12764
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