Prospects for the use of artificial neural networks for problem solving in clinical transplantation
Management of solid organ recipients requires a significant amount of research and observation throughout the recipient’s life. This is associated with accumulation of large amounts of information that requires structuring and subsequent analysis. Information technologies such as machine learning, n...
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| Format: | Article |
| Language: | Russian |
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Federal Research Center of Transplantology and Artificial Organs named after V.I.Shumakov
2021-07-01
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| Series: | Вестник трансплантологии и искусственных органов |
| Subjects: | |
| Online Access: | https://journal.transpl.ru/vtio/article/view/1378 |
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| _version_ | 1839573849199345664 |
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| author | R. M. Kurabekova A. A. Belchenkov O. P. Shevchenko |
| author_facet | R. M. Kurabekova A. A. Belchenkov O. P. Shevchenko |
| author_sort | R. M. Kurabekova |
| collection | DOAJ |
| description | Management of solid organ recipients requires a significant amount of research and observation throughout the recipient’s life. This is associated with accumulation of large amounts of information that requires structuring and subsequent analysis. Information technologies such as machine learning, neural networks and other artificial intelligence tools make it possible to analyze the so-called ‘big data’. Machine learning technologies are based on the concept of a machine that mimics human intelligence and and makes it possible to identify patterns that are inaccessible to traditional methods. There are still few examples of the use of artificial intelligence programs in transplantology. However, their number has increased markedly in recent years. A review of modern literature on the use of artificial intelligence systems in transplantology is presented. |
| format | Article |
| id | doaj-art-4f11b0ca927c4ed69aebf45d059b4831 |
| institution | Matheson Library |
| issn | 1995-1191 |
| language | Russian |
| publishDate | 2021-07-01 |
| publisher | Federal Research Center of Transplantology and Artificial Organs named after V.I.Shumakov |
| record_format | Article |
| series | Вестник трансплантологии и искусственных органов |
| spelling | doaj-art-4f11b0ca927c4ed69aebf45d059b48312025-08-04T14:02:10ZrusFederal Research Center of Transplantology and Artificial Organs named after V.I.ShumakovВестник трансплантологии и искусственных органов1995-11912021-07-0123217718210.15825/1995-1191-2021-2-177-182993Prospects for the use of artificial neural networks for problem solving in clinical transplantationR. M. Kurabekova0A. A. Belchenkov1O. P. Shevchenko2Shumakov National Medical Research Center of Transplantology and Artificial OrgansShumakov National Medical Research Center of Transplantology and Artificial OrgansShumakov National Medical Research Center of Transplantology and Artificial Organs; Sechenov UniversityManagement of solid organ recipients requires a significant amount of research and observation throughout the recipient’s life. This is associated with accumulation of large amounts of information that requires structuring and subsequent analysis. Information technologies such as machine learning, neural networks and other artificial intelligence tools make it possible to analyze the so-called ‘big data’. Machine learning technologies are based on the concept of a machine that mimics human intelligence and and makes it possible to identify patterns that are inaccessible to traditional methods. There are still few examples of the use of artificial intelligence programs in transplantology. However, their number has increased markedly in recent years. A review of modern literature on the use of artificial intelligence systems in transplantology is presented.https://journal.transpl.ru/vtio/article/view/1378artificial intelligence in transplantationmachine learningexpert systemartificial neural network |
| spellingShingle | R. M. Kurabekova A. A. Belchenkov O. P. Shevchenko Prospects for the use of artificial neural networks for problem solving in clinical transplantation Вестник трансплантологии и искусственных органов artificial intelligence in transplantation machine learning expert system artificial neural network |
| title | Prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| title_full | Prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| title_fullStr | Prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| title_full_unstemmed | Prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| title_short | Prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| title_sort | prospects for the use of artificial neural networks for problem solving in clinical transplantation |
| topic | artificial intelligence in transplantation machine learning expert system artificial neural network |
| url | https://journal.transpl.ru/vtio/article/view/1378 |
| work_keys_str_mv | AT rmkurabekova prospectsfortheuseofartificialneuralnetworksforproblemsolvinginclinicaltransplantation AT aabelchenkov prospectsfortheuseofartificialneuralnetworksforproblemsolvinginclinicaltransplantation AT opshevchenko prospectsfortheuseofartificialneuralnetworksforproblemsolvinginclinicaltransplantation |