Application of artificial intelligence technologies in veterinary medicine (review)
https://doi.org/10.52419/issn2782-6252.2024.4.28
Abstract
The scientific article considers the application of artificial intelligence (AI) technologies in veterinary medicine. AI is a set of algorithms and systems capable of processing data, identifying patterns and making decisions based on complex calculations, simulating human intelligence. In veterinary medicine, such systems allow: to increase the effectiveness of diagnosis and treatment of animal diseases; to optimize the work of a veterinary specialist; to automate the analysis of various data on livestock at the enterprise with the possibility of giving recommendations to increase its productivity; to predict the epizootic situation in the region; to provide recommendations on the application of regulatory and legal documentation in veterinary medicine.
About the Authors
R. Kh. BaraevRussian Federation
Ruslan Kh. Baraev, PhD student
D. A. Orekhov
Russian Federation
Dmitry A. Orekhov, PhD of Veterinary Sciences, Docent
References
1. Akinsulie OC, Idris I, Aliyu VA, Shahzad S, Banwo OG, Ogunleye SC, Olorunshola M, Okedoyin DO, Ugwu C, Oladapo IP, Gbadegoye JO, Akande QA, Babawale P, Rostami S, Soetan KO. The potential application of artificial intelligence in veterinary clinical practice and biomedical research. Front Vet Sci.
2. Albadrani, Basima & Abdel–Raheem, Mohamed & Al– Farwachi, Maab. (2024). Artificial Intelligence in Veterinary Care: A Review of Applications for Animal Health. 55. 1725–1736. 3. Appleby, R. B., & Basran, P. S. (2022). Artificial intelligence in veterinary medicine. Journal of the American Veterinary Medical Association, 260(8), 819–824.
3. Bouchemla F., Akchurin SV, Akchurina IV, Dyulger GP, Latynina ES and Grecheneva AV (2023) Artificial intelligence feasibility in veterinary medicine: A systematic review, Veterinary World, 16(10): 2143–2149.
4. Antonov, V. F. Application of neural networks in artificial intelligence tasks / V. F. Antonov, E. A. Pozdnyakov, S. A. Orekhov // Modern science and innovations. – 2021. – № 2(34). – Pp. 154–160.
5. Arakelyan, T. D. Artificial intelligence in Russia: current state, problems and prospects of development / T. D. Arakelyan // Step into the future: Artificial Intelligence and the Digital Economy: Proceedings of the 1st International Scientific and Practical Conference, Moscow, December 04–05, 2017. Volume Issue 2. – Moscow: State University of Management, 2017. – pp. 58–64.
6. Grekalova, A. R. Artificial intelligence in veterinary medicine / A. R. Grekalova, E. V. Berdnova // Economic and mathematical methods of analyzing the activities of agricultural enterprises: VI International Scientific and Practical Conference, Saratov, April 15, 2022. – Saratov: LLC "Tsesain", 2022. – pp. 102–107.
7. Zayakina, D. I. Artificial intelligence in veterinary medicine: current state and prospects / D. I. Zayakina, A.D. Kazak // Scientific support for sustainable development of the agro–industrial complex of mountainous and foothill territories: Materials of the All–Russian scientific and practical conference with international participation dedicated to the 105th anniversary of the Gorsky State Agrarian University, Vladikavkaz, October 26–27, 2023. – Vladikavkaz: Gorsky State Agrarian University, 2023. – pp. 218–221.
8. Using machine learning to study animal behaviors / A. I. Girfanov, R. M. Papaev, L. R. Zagidullin [et al.] // International Forum Kazan Digital Week–2022: Collection of materials of the International Forum, Kazan, September 21–24, 2022 / Under the general editorship of R.N. Minnikhanov. – Kazan: Scientific Center for Life Safety, 2022. – pp. 751–755.
9. Kolesnikov, A.V. Artificial intelligence in agriculture: reality and prospects of use / A.V. Kolesnikov // The economics of agriculture in Russia. – 2024. – No. 6. – pp. 116 –129. – DOI 10.32651/246–116.
10. Kopylova, Ya. A. artificial intelligence / Ya. A. Kopylova // Theory of law and interstate relations. – 2021. – Vol. 2, No. 7(19). – pp. 471–477.
11. Nityana, I. M. Ensuring food and biological safety of animal products by integrating artificial intelligence into an automated electronic system in the field of veterinary medicine "Mercury" / I. M. Nityana, A. A. Knyazeva // Scientific news. – 2022. – No. 27. – pp. 167–169.
12. On the use of artificial intelligence in agriculture / E. A. Derevyany, T. V. Mitrofanova, S. S. Sorokin [et al.] // Bulletin of the Chuvash State Agrarian University. – 2023. – № 4(27). – Pp. 182–187.
13. Orekhov, D. A. The use of modern digital technologies in the implementation of control and supervisory activities in veterinary medicine / D. A. Orekhov, V. A. Kuzmin, G. S. Nikitin // Normative legal regulation in veterinary medicine. – 2022. – No. 3. – pp. 26–30.
14. Orekhov, D. A. Some aspects of the use of information systems in the organization of work on the registration of veterinary accompanying documents / D. A. Orekhov // Materials of the international scientific conference of the teaching staff, researchers and postgraduates of SPbGAVM, St. Petersburg, January 23–27, 2017. –St. Petersburg: St. Petersburg State Academy of Veterinary Medicine, 2017. – pp. 66–68.
15. Orekhova, A. A. The introduction of artificial intelligence elements in FGIS "Mercury" / A. A. Orekhova, M. V. Vasilyeva // Materials of the reports of the 56th International Scientific and Technical Conference of Teachers and Students: in two volumes, Vitebsk, April 19, 2023. Volume 2. – Vitebsk: Vitebsk State Technological University, 2023. – pp. 57–60.
16. Permyakov, I. A. Artificial intelligence in Russia / I. A. Permyakov // Innovatika in the modern world: experience, problems and prospects of development: A collection of scientific articles based on the materials of the XII International Scientific and Practical Conference, Ufa, May 10, 2023. Volume Part 2. – Ufa: Limited Liability Company "Scientific Publishing Center "Bulletin of Science", 2023. – pp. 343–345.
17. Rosselkhoznadzor. According to the materials of the Rosselkhoznadzor, 134 criminal cases were initiated on the facts of violations in the turnover of livestock products [Electronic resource] – Access mode: https://fsvps.gov.ru/ ru/fsvps/news/214161.html. – Access date: 11/22/2024.
18. Sakhno, E. V. The practice of artificial intelligence in veterinary medicine / E. V. Sakhno, A. P. Tsapko // Bulletin of Veterinary Medicine. – 2024. – № 1(108). – Pp. 56–65.
19. Certificate of state registration of the computer program No. 2015660481 Russian Federation. IS "Mercury": No. 2015617477: application 13.08.2015: publ. 01.10.2015 / N. A. Vlasov, A. S. Osminin, M. E. Talisov [et al.] ; applicant Federal State Budgetary Institution "Federal Center for Animal Health Protection" (FGBI "VNIIZH").
20. Certificate of state registration of the computer program No. 2021660591 Russian Federation. FGIS "VetIS" (Federal State information system in the field of veterinary medicine): No. 2021619469: application 17.06.2021: publ. 29.06.2021 / A. A. Timofeev, M. A. Tabala, V. A. Muzychenko [et al.]; the applicant is the Federal State Budgetary Institution "Federal Center for Animal Health Protection".
21. Shurshalova, E. S. Artificial intelligence and the digital economy of Russia / E. S. Shurshalova // Realization of social rights and freedoms of man and citizen using artificial intelligence: Materials of the International Scientific and Practical Conference (May 27, 2022), Moscow, May 27, 2022. – Moscow: Ai Pi Ar Media, 2022. – pp. 136–139.
22. Yalunina, E. N. Application of artificial intelligence systems in agricultural machinery and equipment for sustainable agricultural development / E. N. Yalunina, E. A. Skvortsov, E. G. Skvortsova // The economics of agriculture in Russia. – 2024. – No. 8. – pp. 63–70.
Review
For citations:
Baraev R.Kh., Orekhov D.A. Application of artificial intelligence technologies in veterinary medicine (review). Legal regulation in veterinary medicine. 2024;(4):28-32. (In Russ.) https://doi.org/10.52419/issn2782-6252.2024.4.28