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Cited by in CrossRef
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]
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 gastritisEuropean Journal of Gastroenterology & Hepatology 2007; 19(12): 1059 doi: 10.1097/MEG.0b013e3282f198c2
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 intelligenceDigestive and Liver Disease 2020; 52(5): 566 doi: 10.1016/j.dld.2019.12.146
3
Vasile Astărăstoae, Liliana M. Rogozea, Florin Leaşu, Beatrice Gabriela Ioan. Ethical Dilemmas of Using Artificial Intelligence in MedicineAmerican Journal of Therapeutics 2024; 31(4): e388 doi: 10.1097/MJT.0000000000001693
4
Enzo Grossi. Applications of Mathematics in Models, Artificial Neural Networks and Arts2010; : 415 doi: 10.1007/978-90-481-8581-8_15
5
Young Joo Yang, Chang Seok Bang. Application of artificial intelligence in gastroenterologyWorld Journal of Gastroenterology 2019; 25(14): 1666-1683 doi: 10.3748/wjg.v25.i14.1666
6
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
7
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 networksBMC Pediatrics 2008; 8(1) doi: 10.1186/1471-2431-8-24
8
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 restrictionProgress in Biophysics and Molecular Biology 2013; 113(3): 433 doi: 10.1016/j.pbiomolbio.2013.06.003
9
Yu. P. Uspenskiy, N. V. Baryshnikova, A. A. Ershova. Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsiaMedical alphabet 2022; (12): 27 doi: 10.33667/2078-5631-2022-12-27-33
10
Ashok Kumar, Anirudh Goyal. Emerging molecules, tools, technology, and future of surgical knife in gastroenterologyWorld Journal of Gastrointestinal Surgery 2024; 16(4): 988-998 doi: 10.4240/wjgs.v16.i4.988
11
R.L. Sapra, Siddharth Mehrotra, S. Nundy. Artificial Neural Networks: Prediction of mortality/survival in gastroenterologyCurrent Medicine Research and Practice 2015; 5(3): 119 doi: 10.1016/j.cmrp.2015.05.007
12
E. Grossi, A. Mancini, M. Buscema. International experience on the use of artificial neural networks in gastroenterologyDigestive and Liver Disease 2007; 39(3): 278 doi: 10.1016/j.dld.2006.10.003
13
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 gastritisWorld Journal of Gastroenterology 2008; 14(4): 563-568 doi: 10.3748/wjg.14.563
14
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 imagingArtificial Intelligence in Cancer 2021; 2(2): 12-24 doi: 10.35713/aic.v2.i2.12
15
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 networksMathematical Biosciences and Engineering 2021; 18(6): 9511 doi: 10.3934/mbe.2021467
16
Giovanni Briganti, Olivier Le Moine. Artificial Intelligence in Medicine: Today and TomorrowFrontiers in Medicine 2020; 7 doi: 10.3389/fmed.2020.00027
17
Babita Pandey, R.B. Mishra. Knowledge and intelligent computing system in medicineComputers in Biology and Medicine 2009; 39(3): 215 doi: 10.1016/j.compbiomed.2008.12.008
18
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 diseaseInternational Journal of Medical Informatics 2011; 80(11): 793 doi: 10.1016/j.ijmedinf.2011.08.001
19
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 lesionsGastroenterology Report 2021; 9(3): 185 doi: 10.1093/gastro/goab008
20
Enzo Grossi, Alessandra Mancini, Massimo Buscema. The added value of Artificial Organisms in the analysis of medical data: six years of experienceNAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society 2007; : 502 doi: 10.1109/NAFIPS.2007.383891
21
Kimia Kazemzadeh, Parnian Jabbari, Nima Rezaei. Interdisciplinary Cancer Research 2024;  doi: 10.1007/16833_2024_453
22
Vangelis D. Karalis. The Integration of Artificial Intelligence into Clinical PracticeApplied Biosciences 2024; 3(1): 14 doi: 10.3390/applbiosci3010002
23
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 ApplicationsAdvances in Healthcare Information Systems and Administration 2023; : 210 doi: 10.4018/978-1-6684-5422-0.ch014
24
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 clinicsColorectal Disease 2010; 12(12): 1254 doi: 10.1111/j.1463-1318.2009.02005.x