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Oct 7, 2005 (publication date) through Apr 26, 2024
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Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Lahner E, Grossi E, Intraligi M, Buscema M, Corleto VD, Fave GD, Annibale B. Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis. World J Gastroenterol 2005; 11(37): 5867-5873 [PMID: 16270400 DOI: 10.3748/wjg.v11.i37.5867] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v11/i37/5867.htm |
| Number | Citing Articles |
| 1 |
Bruno Annibale, Edith Lahner. Assessing the severity of atrophic gastritis. European Journal of Gastroenterology & Hepatology 2007; 19(12): 1059 doi: 10.1097/MEG.0b013e3282f198c2
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| 2 |
Yaqiong Zhang, Fengxia Li, Fuqiang Yuan, Kai Zhang, Lijuan Huo, Zichen Dong, Yiming Lang, Yapeng Zhang, Meihong Wang, Zenghui Gao, Zhenzhen Qin, Leixue Shen. Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence. Digestive and Liver Disease 2020; 52(5): 566 doi: 10.1016/j.dld.2019.12.146
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| 3 |
Vasile Astărăstoae, Liliana M. Rogozea, Florin Leaşu, Beatrice Gabriela Ioan. Ethical Dilemmas of Using Artificial Intelligence in Medicine. American Journal of Therapeutics 2024; doi: 10.1097/MJT.0000000000001693
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| 4 |
Enzo Grossi. Applications of Mathematics in Models, Artificial Neural Networks and Arts. 2010; : 415 doi: 10.1007/978-90-481-8581-8_15
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| 5 |
Young Joo Yang, Chang Seok Bang. Application of artificial intelligence in gastroenterology. World Journal of Gastroenterology 2019; 25(14): 1666-1683 doi: 10.3748/wjg.v25.i14.1666
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| 6 |
Maria E Street, Enzo Grossi, Cecilia Volta, Elena Faleschini, Sergio Bernasconi. Placental determinants of fetal growth: identification of key factors in the insulin-like growth factor and cytokine systems using artificial neural networks. BMC Pediatrics 2008; 8(1) doi: 10.1186/1471-2431-8-24
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| 7 |
Maria E. Street, Massimo Buscema, Arianna Smerieri, Luisa Montanini, Enzo Grossi. Artificial Neural Networks, and Evolutionary Algorithms as a systems biology approach to a data-base on fetal growth restriction. Progress in Biophysics and Molecular Biology 2013; 113(3): 433 doi: 10.1016/j.pbiomolbio.2013.06.003
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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 dyspepsia. Medical alphabet 2022; (12): 27 doi: 10.33667/2078-5631-2022-12-27-33
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Ashok Kumar, Anirudh Goyal. Emerging molecules, tools, technology, and future of surgical knife in gastroenterology. World Journal of Gastrointestinal Surgery 2024; 16(4): 988-998 doi: 10.4240/wjgs.v16.i4.988
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R.L. Sapra, Siddharth Mehrotra, S. Nundy. Artificial Neural Networks: Prediction of mortality/survival in gastroenterology. Current Medicine Research and Practice 2015; 5(3): 119 doi: 10.1016/j.cmrp.2015.05.007
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E. Grossi, A. Mancini, M. Buscema. International experience on the use of artificial neural networks in gastroenterology. Digestive and Liver Disease 2007; 39(3): 278 doi: 10.1016/j.dld.2006.10.003
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| 12 |
Edith Lahner, Marco Intraligi, Massimo Buscema, Marco Centanni, Lucy Vannella, Enzo Grossi, Bruno Annibale. Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis. World Journal of Gastroenterology 2008; 14(4): 563-568 doi: 10.3748/wjg.14.563
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Ying Shao, Yu-Xuan Zhang, Huan-Huan Chen, Shan-Shan Lu, Shi-Chang Zhang, Jie-Xin Zhang. Advances in the application of artificial intelligence in solid tumor imaging. Artificial Intelligence in Cancer 2021; 2(2): 12-24 doi: 10.35713/aic.v2.i2.12
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Anibal Thiago Bezerra, Leonardo Antonio Pinto, Diego Samuel Rodrigues, Gabriela Nogueira Bittencourt, Paulo Fernando de Arruda Mancera, José Ricardo de Arruda Miranda. Classification of gastric emptying and orocaecal transit through artificial neural networks. Mathematical Biosciences and Engineering 2021; 18(6): 9511 doi: 10.3934/mbe.2021467
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Giovanni Briganti, Olivier Le Moine. Artificial Intelligence in Medicine: Today and Tomorrow. Frontiers in Medicine 2020; 7 doi: 10.3389/fmed.2020.00027
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Babita Pandey, R.B. Mishra. Knowledge and intelligent computing system in medicine. Computers in Biology and Medicine 2009; 39(3): 215 doi: 10.1016/j.compbiomed.2008.12.008
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Josceli Maria Tenório, Anderson Diniz Hummel, Frederico Molina Cohrs, Vera Lucia Sdepanian, Ivan Torres Pisa, Heimar de Fátima Marin. Artificial intelligence techniques applied to the development of a decision–support system for diagnosing celiac disease. International Journal of Medical Informatics 2011; 80(11): 793 doi: 10.1016/j.ijmedinf.2011.08.001
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Daniela Cornelia Lazăr, Mihaela Flavia Avram, Alexandra Corina Faur, Ioan Romoşan, Adrian Goldiş. The role of computer-assisted systems for upper-endoscopy quality monitoring and assessment of gastric lesions. Gastroenterology Report 2021; 9(3): 185 doi: 10.1093/gastro/goab008
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| 19 |
Enzo Grossi, Alessandra Mancini, Massimo Buscema. The added value of Artificial Organisms in the analysis of medical data: six years of experience. NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society 2007; : 502 doi: 10.1109/NAFIPS.2007.383891
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| 20 |
Vangelis D. Karalis. The Integration of Artificial Intelligence into Clinical Practice. Applied Biosciences 2024; 3(1): 14 doi: 10.3390/applbiosci3010002
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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 Applications. Advances in Healthcare Information Systems and Administration 2023; : 210 doi: 10.4018/978-1-6684-5422-0.ch014
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S. Maslekar, A. B. Gardiner, J. R. T. Monson, G. S. Duthie. Artificial neural networks to predict presence of significant pathology in patients presenting to routine colorectal clinics. Colorectal Disease 2010; 12(12): 1254 doi: 10.1111/j.1463-1318.2009.02005.x
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