Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsia

Author:

Uspenskiy Yu. P.1ORCID,Baryshnikova N. V.2ORCID,Ershova A. A.3ORCID

Affiliation:

1. Saint Petersburg State Pediatric Medical University; First Saint Petersburg State Medical University n.a. academician I. P. Pavlov

2. Saint Petersburg State Pediatric Medical University; First Saint Petersburg State Medical University n.a. academician I. P. Pavlov; Institute of Experimental Medicine

3. Ural State Medical University

Publisher

Alfmed LLC

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

Reference28 articles.

1. Sugano K., Tack J., Kuipers E. J., Graham D. Y., El-Omar E.M., Miura S., Haruma K., Asaka M., Uemura N., Malfertheiner P.; faculty members of Kyoto Global Consensus Conference. Kyoto global consensus report on Helicobacter pylori gastritis. Gut. 2015 Sep; 64 (9): 1353–67. DOI: 10.1136/gutjnl-2015–309252. Epub 2015 Jul 17. PMID: 26187502; PMCID: PMC 4552923.

2. Malfertheiner P., Megraud F., O'Morain C.A., Gisbert J. P., Kuipers E. J., Axon A. T., Bazzoli F., Gasbarrini A., Atherton J., Graham D. Y., Hunt R., Moayyedi P., Rokkas T., Rugge M., Selgrad M., Suerbaum S., Sugano K.., El-Omar EM.; European Helicobacter and Microbiota Study Group and Consensus panel. Management of Helicobacter pylori infection-the Maastricht V/ Florence Consensus Report. Gut. 2017 Jan; 66 (1): 6–30. DOI: 10.1136/gutjnl-2016–312288. Epub 2016 Oct 5. PMID: 27707777.

3. Yang Y.J., Bang C. S. Application of artificial intelligence in gastroenterology. World J Gastroenterol. 2019 Apr 14; 25 (14): 1666–1683. DOI: 10.3748/wjg.v25.i14.1666. PMID: 31011253; PMCID: PMC 6465941.

4. Wu L., Zhang J., Zhou W., An P.., Shen L, Liu J., Jiang X., Huang X., Mu G., Wan X., Lv X., Gao J., Cui N., Hu S., Chen Y., Hu X., Li J., Chen D., Gong D., He X., Ding Q., Zhu X., Li S., Wei X., Li X., Wang X., Zhou J., Zhang M., Yu H. G. Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy. Gut. 2019 Dec; 68 (12): 2161–2169. DOI: 10.1136/gutjnl-2018–317366. PMID: 30858305.

5. Takiyama H., Ozawa T., Ishihara S., Fujishiro M., Shichijo S., Nomura S., Miura M., Tada T. Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks. Sci Rep. 2018 May 14; 8 (1): 7497. DOI: 10.1038/s41598–018–25842–6. PMID: 29760397; PMCID: PMC 5951793.

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