ARTIFICIAL INTELLIGENCE AND SIMULATION TECHNOLOGIES IN THE TRAINING OF MEDICAL STUDENTS IN THE DISCIPLINE OF OBSTETRICS AND GYNECOLOGY

Tetiana Loskutova

doi:10.36074/logos-06.02.2026.053

ARTIFICIAL INTELLIGENCE AND SIMULATION TECHNOLOGIES IN THE TRAINING OF MEDICAL STUDENTS IN THE DISCIPLINE OF OBSTETRICS AND GYNECOLOGY

Tetiana Loskutova

Conference proceedings: Sammlung wissenschaftlicher Arbeiten «ΛΌГOΣ» zu den Materialien der IX internationalen wissenschaftlich-praktischen Konferenz «Grundlagen der modernen wissenschaftlichen Forschung» (Zürich, Schweizerische Eidgenossenschaft; 6. Februar, 2026)

Section: Medical sciences and Public health

Publication date: 2026/02/06

Pages: 281-286

DOI: 10.36074/logos-06.02.2026.053

ISBN: 978-617-8440-87-9

Publisher: BOLESWA Publishers

Language: en

PDF for indexing Original PDF in OJS archive DOI

Abstract

The article is dedicated to the integration of cutting-edge technologies—artificial intelligence (AI) and high-fidelity simulation—into the educational process of the Department of Obstetrics and Gynecology at Dnipro State Medical University (DSMU). The possibilities of adapting and implementing innovative pedagogical strategies in the context of global healthcare digitalization and the specific challenges facing Ukrainian medical education due to the COVID-19 pandemic and martial law are examined. The structure of simulation training is analyzed, ranging from basic phantom training to work with virtual patients, as well as the role of remote systems (Moodle, Google Meet) in ensuring the continuity of education

Author affiliations

Tetiana Loskutova: Dnipro State Medical University, UKRAINE; ORCID

References

Ayaz, O., & Ismail, F. W. (2022). Healthcare Simulation: A Key to the Future of Medical Education - A Review. Advances in medical education and practice, 13, 301–308. doi: https://doi.org/10.2147/AMEP.S353777.
Chavarha, A., Suprunenko, S., Shpryakha, Y., Gai, O., & Glavatskyi, O. (2025). Adapting Ukrainian Medical Education to the Challenges of War: A Scoping Review. Health Leadership and Quality of Life, 4, 664. https://doi.org/10.56294/hl2025664
Zuhair, V., Babar, A., Ali, R., Oduoye, M., Noor, Z., Chris, K., Okon, I., Rehman, L. (2024). Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations. Journal of Primary Care & Community Health, 15, 21501319241245847. doi: 10.1177/21501319241245847.
Yezhova, O. O. (2023). Barriers to the implementation of simulation technologies in medical education. Problems of modern transformations. Series: pedagogy and psychology, (1), 74–77. https://doi.org/10.54929/pmtp-2023-1-07-01
Sіusіuka V., Ganoshenko, Y., Sergienko, M., Pavliuchenko, M., Deinichenko, O., Onopchenko, S., & Kyrychenko, M. (2024). Exam as a comprehensive pedagogical method of assessing the knowledge and skills at higher education applicants. Collection of Scientific Papers « ΛΌ ГO Σ », (October 18, 2024; Cambridge, UK), 299–304. https://doi.org/10.36074/logos-18.10.2024.072
Motsiuk, Y. B., Ostafiychuk, S. O., & Basiuha, I. O. (2023). The use of simulation teaching methods in the study of the discipline “obstetrics and gynecology”. Medical Education, (3), 73–78. https://doi.org/10.11603/m.2414-5998.2023.3.14047
Potapov, V. O., Donska, Y. V., Medvediev, M. V., & Petulko А. Р. (2015). Experience of phantom-simulation training of students in speciality «obstetrics and gynecology». Medical Informatics and Engineering, (4). https://doi.org/10.11603/mie.1996-1960.2015.4.5446

[1] Ayaz, O., & Ismail, F. W. (2022). Healthcare Simulation: A Key to the Future of Medical Education - A Review. Advances in medical education and practice, 13, 301–308. doi: https://doi.org/10.2147/AMEP.S353777.

[2] Chavarha, A., Suprunenko, S., Shpryakha, Y., Gai, O., & Glavatskyi, O. (2025). Adapting Ukrainian Medical Education to the Challenges of War: A Scoping Review. Health Leadership and Quality of Life, 4, 664. https://doi.org/10.56294/hl2025664

[3] Zuhair, V., Babar, A., Ali, R., Oduoye, M., Noor, Z., Chris, K., Okon, I., Rehman, L. (2024). Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations. Journal of Primary Care & Community Health, 15, 21501319241245847. doi: 10.1177/21501319241245847.

[4] Yezhova, O. O. (2023). Barriers to the implementation of simulation technologies in medical education. Problems of modern transformations. Series: pedagogy and psychology, (1), 74–77. https://doi.org/10.54929/pmtp-2023-1-07-01

[5] Sіusіuka V., Ganoshenko, Y., Sergienko, M., Pavliuchenko, M., Deinichenko, O., Onopchenko, S., & Kyrychenko, M. (2024). Exam as a comprehensive pedagogical method of assessing the knowledge and skills at higher education applicants. Collection of Scientific Papers « ΛΌ ГO Σ », (October 18, 2024; Cambridge, UK), 299–304. https://doi.org/10.36074/logos-18.10.2024.072

[6] Motsiuk, Y. B., Ostafiychuk, S. O., & Basiuha, I. O. (2023). The use of simulation teaching methods in the study of the discipline “obstetrics and gynecology”. Medical Education, (3), 73–78. https://doi.org/10.11603/m.2414-5998.2023.3.14047

[7] Potapov, V. O., Donska, Y. V., Medvediev, M. V., & Petulko А. Р. (2015). Experience of phantom-simulation training of students in speciality «obstetrics and gynecology». Medical Informatics and Engineering, (4). https://doi.org/10.11603/mie.1996-1960.2015.4.5446