Russian Federation
UDK 30 Теория и методы общественных наук
GRNTI 04.00 СОЦИОЛОГИЯ
OKSO 39.00.00 Социология и социальная работа
BBK 6 ОБЩЕСТВЕННЫЕ НАУКИ
TBK 7 ОБЩЕСТВЕННЫЕ НАУКИ. ЭКОНОМИКА. ПРАВО.
BISAC SOC SOCIAL SCIENCE
A review of studies, the results of which were discussed at the 21st international conference on artificial intelligence in medicine, is presented. The conference was held in Slovenia in June 2023. The first conference of this type was held in 1985; 15 reports were presented in its materials. The 2023 state-of-the-art conference featured 47 presentations in the areas of: evaluation of predictive models in medicine, image analysis, data analysis, machine and deep learning, decision support and explainability technologies, learning transfer and signal analysis, natural language processing. Only 2 studies out of 47 were devoted to a sociological analysis of the use of AI technologies in healthcare. One of these studies - "National data on e-prescriptions reveals the position of doctors and their prescribing patterns in Slovenia" by Pavlin G. Poličar, Dalibor Stanimirovic, Blaž Zupan - was analyzed in detail to determine how effective the methodology proposed by the authors is. The main way of presenting the results of the study was the visualization of clusters, which combined the types of drugs prescribed by Slovenian doctors. The authors believe that these results can be used for machine learning and for planning the purchase of these drugs, since health care in Slovenia is managed centrally. It is concluded that this technique can also be applied to Russia, since there is also a centralized regional administration in the field of public health. It is expected to analyze the dynamics of research in the field of sociology of AI in medicine at this conference in the future.
artificial intelligence, healthcare, sociology of artificial intelligence, visualization, machine learning.
1. Akhlaghi M. et al. Predicting the Physician's Specialty Using a Medical Prescription Database //Computational and Mathematical Methods in Medicine. - 2022. - V. 2022. Article ID 5871408, 8 pages. https://doi.org/10.1155/2022/5871408
2. Artificial Intelligence in Medicine. 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings. Editors Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker. Springer, 2023. 338 p. https://doi.org/10.1007/978-3-031-34344-5
3. Birkenhäger W. H. et al. Blood pressure, cognitive functions, and prevention of dementias in older patients with hypertension //Archives of Internal Medicine. - 2001. - V. 161. - №. 2. - P. 152-156.
4. De Lotto I., Stefanelli M. (ed.). Artificial Intelligence in Medicine: Proceedings of the International Conference on Artificial Intelligence in Medicine, Pavia, Italy, 13-14 Septmeber 1985. North Holland, 1985. http://aimedicine.info/doc/AIME%2085.pdf
5. Ester M. et al. A density-based algorithm for discovering clusters in large spatial databases with noise //kdd. - 1996. - V. 96. - №. 34. - P. 226-231.
6. Garg A. et al. Predicting family physicians based on their practice using machine learning //2021 IEEE International Conference on Big Data (Big Data). - IEEE, 2021. - P. 4069-4077.
7. Hamet P., Tremblay J. Artificial intelligence in medicine //Metabolism. - 2017. - V. 69. - P. S36-S40. https://doi.org/10.1016/j.metabol.2017.01.011
8. Joyce K. et al. Toward a sociology of artificial intelligence: A call for research on inequalities and structural change //Socius. - 2021. - V. 7. - P. 2378023121999581.
9. Kasapoglu A. Sociology of Artificial Intelligence: A Relational Sociological Investigation in the Field of Health //Rep Glob Health Res. - 2020. - V. 3. - P. 112.
10. Kobak D., Berens P. The art of using t-SNE for single-cell transcriptomics //Nature communications. - 2019. - V. 10. - №. 1. - P. 5416.
11. Krause L., Dini L., Prütz F. Gynaecology and general practitioner services utilisation by women in the age group 50 years and older //Journal of Health Monitoring. - 2020. - V. 5. - №. 2. - P. 15-25. https://doi.org/10.25646/6808
12. Peek N. et al. Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes //Artificial intelligence in medicine. - 2015. - V. 65. - №. 1. - P. 61-73.
13. Poličar P. G., Stražar M., Zupan B. openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding //BioRxiv. - 2019. - P. 731877. https://doi.org/10.1101/731877
14. Poličar, P.G., Stanimirović, D., Zupan, B. (2023). Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. In: Juarez, J.M., Marcos, M., Stiglic, G., Tucker, A. (eds) Artificial Intelligence in Medicine. AIME 2023. Lecture Notes in Computer Science, vol 13897. Springer, Cham. https://doi.org/10.1007/978-3-031-34344-5_34
15. Raphael M. W. Artificial intelligence and the situational rationality of diagnosis: Human problem-solving and the artifacts of health and medicine //Sociology Compass. - 2022. - V. 16. - №. 11. - P. e13047.
16. Rousseeuw P. J. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis //Journal of computational and applied mathematics. - 1987. - V. 20. - P. 53-65. https://doi.org/10.1016/0377-0427(87)90125-7
17. Shirazi S. et al. A new application of community detection for identifying the real specialty of physicians //International Journal of Medical Informatics. - 2020. - V. 140. - P. 104161. https://doi.org/10.1016/j.ijmedinf.2020.104161
18. Timmermans S. et al. Handbook of medical sociology. - Nashville, TN: Vanderbilt University Press, 2010. 457 p.
19. Van der Maaten L., Hinton G. Visualizing data using t-SNE //Journal of machine learning research. - 2008. - V. 9. - №. 11 - P.2579-2605.
20. Zajko M. Artificial intelligence, algorithms, and social inequality: Sociological contributions to contemporary debates //Sociology Compass. - 2022. - V. 16. - №. 3. - P. e12962.
21. Basalaeva O. G. i dr. Social'naya real'nost' i iskusstvennyy intellekt. Opyt sociologicheskogo oprosa studentov KemGMU //Vestnik obschestvennyh i gumanitarnyh nauk. - 2021. - T. 2. - №. 3. - S. 37-42.
22. Vantyaeva A. S. Tehnologii iskusstvennogo intellekta v sfere mediciny i otechestvennogo zdravoohraneniya: sociologicheskiy aspekt //Obschestvo: sociologiya, psihologiya, pedagogika. - 2022. - №. 6 (98). - S. 70-75.
23. Vasyuta E. A., Podol'skaya T. V. Problemy i perspektivy vnedreniya iskusstvennogo intellekta v medicine //Gosudarstvennoe i municipal'noe upravlenie. Uchenye zapiski. - 2022. - №. 1. - S. 25-32.
24. Golovko O. V., Harlampenkov E. I. Sociologicheskie aspekty napravleniy vnedreniya iskusstvennogo intellekta v zdravoohranenie Kuzbassa //Vestnik Kemerovskogo gosudarstvennogo universiteta. Seriya: Politicheskie, sociologicheskie i ekonomicheskie nauki. - 2023. - T. 8. - №. 1 (27). - S. 40-49.
25. Degtyarenko, K. A. Recenziya na knigu Meredit Brussard "Iskusstvennyy intellekt: predely vozmozhnogo" / K. A. Degtyarenko, D. S. Pchelkina // Sociologiya iskusstvennogo intellekta. - 2022. - T. 3, № 1. - S. 33-41. - DOIhttps://doi.org/10.31804/2712-939X-2022-3-1-33-41. - EDN PBQAWV.
26. Kopceva, N. P. Sovremennye issledovaniya v oblasti sociologii iskusstvennogo intellekta: bazovye podhody. Chast' 6.2 / N. P. Kopceva, Yu. S. Zamaraeva // Sociologiya iskusstvennogo intellekta. - 2023. - T. 4, № 2. - S. 8-25. - EDN FMQUUM.
27. Kurmetova, M. K. Cifrovoe bessmertie v predstavleniyah sovremennogo obschestva: rezul'taty associativnogo eksperimenta 2023 g / M. K. Kurmetova // Cifrovizaciya. - 2023. - T. 4, № 2. - S. 50-57. - EDN NAAUHP.
28. Leychenko, N. M. Analiticheskiy obzor otechestvennyh praktik primeneniya neyrosetevyh i innovacionnyh tehnologiy v sfere iskusstva / N. M. Leychenko // Cifrovizaciya. - 2022. - T. 3, № 4. - S. 8-19. - DOIhttps://doi.org/10.37993/2712-8733-2022-3-4-8-19. - EDN HWHLVO.
29. Omelik, A. A. Razvernutaya recenziya na kollektivnuyu monografiyu "Filosofskie problemy razvitiya iskusstvennogo intellekta" / A. A. Omelik, Yu. V. Kvashnina // Sociologiya iskusstvennogo intellekta. - 2022. - T. 3, № 4. - S. 129-141. - DOIhttps://doi.org/10.31804/2712-939X-2022-3-4-129-141. - EDN TIIAMI.
30. Pimenova, N. N. Idiot ili geniy? Kak rabotaet i na chto sposoben iskusstvennyy intellekt. Recenziya na knigu Melani Mitchell / N. N. Pimenova, A. A. Shpak // Sociologiya iskusstvennogo intellekta. - 2022. - T. 3, № 2. - S. 71-82. - DOIhttps://doi.org/10.31804/2712-939X-2022-3-2-71-82. - EDN DUPHQV.
31. Sergeeva, N. A. Daydzhest novostey v sfere razvitiya iskusstvennogo intellekta / N. A. Sergeeva, A. A. Omelik, Yu. S. Zamaraeva // Sociologiya iskusstvennogo intellekta. - 2023. - T. 4, № 1. - S. 26-36. - DOIhttps://doi.org/10.31804/2712-939X-2023-4-1-26-36. - EDN HWZDKB.
32. Seredkina, N. N. Aktual'nye napravleniya issledovaniy koncepcii cifrovogo bessmertiya (po rezul'tatam kontent-analiza nauchnyh publikaciy za 2012-2022 gg.) / N. N. Seredkina, A. A. Shkel'tina, I. V. Shubnikova // Cifrovizaciya. - 2023. - T. 4, № 2. - S. 58-66. - EDN VFHBDT.
33. Sertakova, E. A. Social'nye sistemy, modeli, transformacii: analiz teoreticheskih podhodov / E. A. Sertakova // Social'naya antropologiya Sibiri. - 2021. - T. 2, № 2. - S. 18-35. - EDN ZUOLQV.
34. Shamshurin N. G., Shamshurina V. I. Sociologiya vrachebnoy pomoschi v cifrovuyu epohu //Vestnik Tomskogo gosudarstvennogo universiteta. Filosofiya. Sociologiya. Politologiya. - 2020. - №. 53. - S. 178-187.
35. Shpak, A. A. Kak uchitsya mashina. Revolyuciya v oblasti neyronnyh setey i mashinnogo obucheniya. Recenziya na knigu avtora Yana Lekuna / A. A. Shpak // Sociologiya iskusstvennogo intellekta. - 2023. - T. 4, № 2. - S. 59-62. - EDN IQXPDV.
36. Shpak, A. A. Problemy primeneniya tehnologiy iskusstvennogo intellekta v sociologicheskom aspekte / A. A. Shpak // Sociologiya iskusstvennogo intellekta. - 2021. - T. 2, № 4. - S. 43-46. - DOIhttps://doi.org/10.31804/2712-939X-2021-2-4-43-46. - EDN QVBASW.
37. Yarmuhametov R. R. Obzor primeneniy iskusstvennogo intellekta v medicine //Naukosfera. - 2020. - №. 12-2. - S. 172-178.
