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 AI. Diagnostics 2024; 14(7): 759 doi: 10.3390/diagnostics14070759
|
2 |
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 study. Heliyon 2024; 10(2): e24161 doi: 10.1016/j.heliyon.2024.e24161
|
3 |
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology. 2023; : 49 doi: 10.1007/978-3-031-21506-3_3
|
4 |
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 Prevention. Journal of Personalized Medicine 2024; 14(1): 107 doi: 10.3390/jpm14010107
|
5 |
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 Study. JMIR AI 2024; 3: e50525 doi: 10.2196/50525
|
6 |
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 breast. Technology and Health Care 2024; : 1 doi: 10.3233/THC-230671
|
7 |
Wenly Ruan, Priya Narula, Douglas S. Fishman. Upskilling Pediatric Ileocolonoscopy. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2): 253 doi: 10.1016/j.giec.2022.11.006
|
8 |
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 Update. Cancers 2023; 15(3): 708 doi: 10.3390/cancers15030708
|
9 |
Shreya Reddy, Avneet Shaheed, Yui Seo, Rakesh Patel. Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology Slides. Cureus 2024; doi: 10.7759/cureus.56740
|
10 |
Anish Gupta, Apeksha Koul, Yogesh Kumar. Pancreatic Cancer Detection using Machine and Deep Learning Techniques. 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) 2022; : 151 doi: 10.1109/ICIPTM54933.2022.9754010
|
11 |
Usman Ahmad Usmani, Ari Happonen, Junzo Watada, Jayden Khakurel. Proceedings of Eighth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems 2023; 694: 1085 doi: 10.1007/978-981-99-3091-3_89
|
12 |
Alan N Barkun, Daniel von Renteln, Hamid Sadri. Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening. Journal of the Canadian Association of Gastroenterology 2023; 6(3): 97 doi: 10.1093/jcag/gwad014
|
13 |
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 Review. Life 2023; 13(4): 1031 doi: 10.3390/life13041031
|
14 |
Joseph J.Y. Sung. Artificial Intelligence in Medicine. 2024; : 1 doi: 10.1016/B978-0-323-95068-8.00001-7
|
15 |
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 Study. ESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765620
|
16 |
Jonathan S. Galati, Kevin Lin, Seth A. Gross. Recent advances in devices and technologies that might prove revolutionary for colonoscopy procedures. Expert Review of Medical Devices 2023; 20(12): 1087 doi: 10.1080/17434440.2023.2280773
|
17 |
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne. The role of artificial intelligence in colonoscopy. Seminars in Colon and Rectal Surgery 2024; 35(1): 101007 doi: 10.1016/j.scrs.2024.101007
|
18 |
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 direction. Artificial Intelligence in Gastroenterology 2022; 3(3): 88-95 doi: 10.35712/aig.v3.i3.88
Abstract(613) |
Core Tip(481) |
Full Article(HTML)(1907)
|
Full Article (PDF)-577K(134)
|
Full Article (Word)-126K(92)
|
Audio-1055K(5)
|
Peer-Review Report-406K(84)
|
Answering Reviewers-616K(77)
|
Times Cited (0)
|
Total Visits (6192)
|
Open
|
19 |
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 study. Wiener Medizinische Wochenschrift 2023; doi: 10.1007/s10354-023-01020-w
|
20 |
George Peek, Sharona B. Ross. The future implementation of artificial intelligence technology in esophageal surgery. Artificial Intelligence Surgery 2023; 3(4): 249 doi: 10.20517/ais.2023.56
|
21 |
Chin Hock Nicholas Tee, Rajesh Ravi, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in Barrett’s esophagus. Artificial Intelligence in Gastroenterology 2023; 4(2): 28-35 doi: 10.35712/aig.v4.i2.28
Abstract(246) |
Core Tip(259) |
Full Article(HTML)(1319)
|
Full Article with Cover (PDF)-843K(64)
|
Full Article (Word)-232K(94)
|
Audio-2708K(1)
|
Peer-Review Report-363K(36)
|
Answering Reviewers-201K(34)
|
Full Article (PDF)-587K(75)
|
Full Article (XML)-137K(31)
|
Times Cited (0)
|
Total Visits (3274)
|
Open
|
22 |
Peter Stawinski, Karolina Dziadkowiec, Lily Kuo, Juan Echavarria, Shreyas Saligram. Barrett’s Esophagus: An Updated Review. Diagnostics 2023; 13(2): 321 doi: 10.3390/diagnostics13020321
|
23 |
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 Prognosis. Journal of Clinical Medicine 2023; 12(23): 7380 doi: 10.3390/jcm12237380
|
24 |
Inna Novak, Lee M. Bass. Gastrointestinal Bleeding in Children. Gastrointestinal Endoscopy Clinics of North America 2023; 33(2): 401 doi: 10.1016/j.giec.2022.11.003
|
25 |
Peng-yue Zhao, Ke Han, Ren-qi Yao, Chao Ren, Xiao-hui Du. Application Status and Prospects of Artificial Intelligence in Peptic Ulcers. Frontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.894775
|
26 |
Srinadh Komanduri, Amrita Sethi, V. Raman Muthusamy. Future Implications of Innovation in Gastroenterology for Clinical Practice: A Call to Action. American Journal of Gastroenterology 2023; 118(8): 1307 doi: 10.14309/ajg.0000000000002194
|
27 |
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 Gastroenterology. Cureus 2024; doi: 10.7759/cureus.51848
|
28 |
Nabil M. Mansour. Artificial Intelligence in Colonoscopy. Current Gastroenterology Reports 2023; 25(6): 122 doi: 10.1007/s11894-023-00872-x
|
29 |
Leanne M. Williams, William T. Carpenter, Carrie Carretta, Evangelos Papanastasiou, Uma Vaidyanathan. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practice. CNS Spectrums 2024; 29(1): 26 doi: 10.1017/S1092852923002420
|
30 |
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 Images. Journal of Magnetic Resonance Imaging 2023; 57(2): 472 doi: 10.1002/jmri.28300
|
31 |
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 imaging. Biomedicine & Pharmacotherapy 2023; 158: 114182 doi: 10.1016/j.biopha.2022.114182
|
32 |
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 practice. Frontiers in Public Health 2023; 11 doi: 10.3389/fpubh.2023.1301563
|
33 |
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 Study. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4188558
|
34 |
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
|
35 |
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 disease. Artificial Intelligence in Medical Imaging 2022; 3(3): 70-86 doi: 10.35711/aimi.v3.i3.70
Abstract(493) |
Core Tip(424) |
Full Article(HTML)(1969)
|
Full Article (PDF)-831K(191)
|
Full Article (Word)-351K(87)
|
Audio-365K(4)
|
Peer-Review Report-459K(104)
|
Answering Reviewers-131K(88)
|
Times Cited (0)
|
Total Visits (6741)
|
Open
|
36 |
Nisha Ganesh, Stephen B Hanauer, Parambir S Dulai. The importance of predicting patient responses to monoclonal antibodies for Crohn’s disease. Expert Opinion on Biological Therapy 2023; 23(10): 941 doi: 10.1080/14712598.2023.2252339
|
37 |
Mentore Ribolsi, Gianluca Andrisani, Francesco Maria Di Matteo, Michele Cicala. Achalasia, from diagnosis to treatment. Expert Review of Gastroenterology & Hepatology 2023; 17(1): 21 doi: 10.1080/17474124.2022.2163236
|
38 |
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise. Journal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
|
39 |
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 Healthcare. Journal of Personalized Medicine 2023; 13(8): 1214 doi: 10.3390/jpm13081214
|
40 |
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 Hepatology. Diagnostics 2023; 13(4): 662 doi: 10.3390/diagnostics13040662
|
41 |
Alberto Savino, Emanuele Rondonotti, Simone Rocchetto, Alessandra Piagnani, Niccolò Bina, Pasquale Di Domenico, Francesco Segatta, Franco Radaelli. GI genius endoscopy module: a clinical profile. Expert Review of Medical Devices 2024; : 1 doi: 10.1080/17434440.2024.2342508
|
42 |
Sonja Skiljic, Dino Budrovac, Ana Cicvaric, Nenad Neskovic, Slavica Kvolik. Advances in Analgosedation and Periprocedural Care for Gastrointestinal Endoscopy. Life 2023; 13(2): 473 doi: 10.3390/life13020473
|
43 |
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 study. American Journal of Otolaryngology 2023; 44(2): 103695 doi: 10.1016/j.amjoto.2022.103695
|
44 |
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 bleeding. Surgical Endoscopy 2023; 37(10): 7658 doi: 10.1007/s00464-023-10273-w
|
45 |
Georgios Zacharakis, Abdulaziz Almasoud. Using of artificial intelligence: Current and future applications in colorectal cancer screening. World Journal of Gastroenterology 2022; 28(24): 2778-2781 doi: 10.3748/wjg.v28.i24.2778
Abstract(512) |
Core Tip(367) |
Full Article(HTML)(1546)
|
Full Article (PDF)-623K(181)
|
Full Article (Word)-106K(52)
|
Audio-1007K(0)
|
Peer-Review Report-234K(39)
|
Answering Reviewers-378K(53)
|
Times Cited (0)
|
Total Visits (3735)
|
Open
|
46 |
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 Medicine. Diagnostics 2023; 13(18): 2992 doi: 10.3390/diagnostics13182992
|
47 |
T. A. Sadulaeva, L. A. Edilgireeva, M. B. Bimurzaeva, A. O. Morozov. Use of artificial intelligence in diagnostic cystoscopy of bladder cancer. Cancer Urology 2023; 19(2): 146 doi: 10.17650/1726-9776-2023-19-2-148-152
|
48 |
Jonathan S Galati, Robert J Duve, Matthew O'Mara, Seth A Gross. Artificial intelligence in gastroenterology: A narrative review. Artificial Intelligence in Gastroenterology 2022; 3(5): 117-141 doi: 10.35712/aig.v3.i5.117
|
49 |
Victoria S. Jiang, Zoran J. Pavlovic, Eduardo Hariton. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies. Obstetrics and Gynecology Clinics of North America 2023; 50(4): 747 doi: 10.1016/j.ogc.2023.09.003
|