Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsia
https://doi.org/10.33667/2078-5631-2022-12-27-33
Abstract
Diseases of the upper digestive tract are an extremely common pathology and have not only medical, but also social significance, because they often occur in young people of working age. The article presents an overview of current literature data on the capabilities of artificial intelligence in the diagnosis and treatment of chronic gastritis, including those with signs of atrophy, Helicobacter pylori infection and functional dyspepsia. Collected data from various studies demonstrating the effectiveness of different neural networks in the diagnosis of these diseases.
About the Authors
Yu. P. Uspenskiy
Saint Petersburg State Pediatric Medical University; First Saint Petersburg State Medical University n.a. academician I. P. Pavlov
Russian Federation
Russian Federation
Uspenskiy Yury P., DM Sci (habil.), professor, head of Dept of Faculty Therapy n.a. V. A. Valdman; professor at Dept of Internal Diseases of Stomatological Faculty
Saint Petersburg
N. V. Baryshnikova
Saint Petersburg State Pediatric Medical University; First Saint Petersburg State Medical University n.a. academician I. P. Pavlov; Institute of Experimental Medicine
Russian Federation
Russian Federation
Baryshnikova Natalia V., PhD Med, associate professor, junior science researcher of Laboratory of Medico-Social Pediatric Problems; associate professor of Dept of Internal Diseases of Stomatological Faculty; researcher at Laboratory of Molecular Microbiology
Saint Petersburg
A. A. Ershova
Ural State Medical University
Russian Federation
Russian Federation
Ershova Anastasia A., 6th year student
Yekaterinburg
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Review
For citations:
Uspenskiy Yu.P., Baryshnikova N.V., Ershova A.A. Artificial intelligence in diagnostic of chronic gastritis, Helicobacter pylori infection and functional dyspepsia. Medical alphabet. 2022;(12):27-33. (In Russ.) https://doi.org/10.33667/2078-5631-2022-12-27-33
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