Research Article

Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students

Volume: 7 Number: 1 January 4, 2026

Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students

Abstract

Advancements in the domain of artificial intelligence (AI) hold the promise of developing solutions for the detection, monitoring and treatment of diseases by increasing the learning and problem-solving capabilities of computers. This situation is aimed to create synergistic and integrative effects in health services. The aim of this study was to examine the impact of artificial intelligence (AI) on the educational processes of students studying at different levels within the Faculty of Medicine and Health Sciences. The present study was conducted with the participation of students from various levels of the Faculty of Medicine and Health Sciences at Haliç University. A total of 490 students (136 male, 354 female) participated in the study. All statistical analyses were performed using the IBM SPSS 25.0 programme. The AI awareness and sub-dimensions of the students were evaluated according to their sociodemographic characteristics. While 74.5% of respondents indicated a preference for receiving professional ethics training, 46.9% reported having received only information about artificial intelligence. In addition, a resounding majority of 67.8% of respondents expressed support for the integration of an AI-focused curriculum into their respective departmental academic programmes. Individual attitudes and willingness to learn have a significant impact on artificial intelligence awareness. Trust and awareness of AI systems show a positive correlation. Furthermore, the idea that AI technologies will contribute to positive applications in healthcare and education has also been supported.

Keywords

Digital Education, Artificial Intelligence, Health Technologies, Professional Development

Supporting Institution

Haliç University

Project Number

224

Ethical Statement

Haliç University Non-Interventional Clinical Research Ethics Committee (Date: 27.12.2024, Decision No: 224).

References

  1. Al Hadithy, Z. A., Al Lawati, A., Al-Zadjali, R., Al Sinawi, H. (2023). Knowledge, Attitudes, and Perceptions of Artificial Intelligence in Healthcare Among Medical Students at Sultan Qaboos University. Cureus, 15(9), e44887. https://doi.org/10.7759/cureus.44887
  2. Alabbad, F. A., Almeneessier, A. S., Alshalan, M. H.,Aljarba, M. N. (2025). Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia. Journal of family medicine and primary care, 14(4), 1459–1464. https://doi.org/10.4103/jfmpc.jfmpc_1812_24
  3. Alruwaili, M. M., Abuadas, F. H., Alsadi, M., Alruwaili, A. N., Elsayed Ramadan, O. M., Shaban, M., Al Thobaity, A., Alkahtani, S. M., El Arab, R. A. (2024). Exploring nurses' awareness and attitudes toward artificial intelligence: Implications for nursing practice. Digital health, 10, 20552076241271803. https://doi.org/10.1177/20552076241271803
  4. Briand, K., Sabarros, P. S., Maufroy, A., Vernet, A. L., Yon, A., Bonnieux, A., Bach, P. (2023). An application of Electronic Monitoring System to optimize onboard observation protocols for estimating tropical tuna purse seine discards. Regional Studies in Marine Science, 68, 103267. https://doi.org/10.1016/j.rsma.2023.103267
  5. Donmez, M. (2024). AI-based feedback tools in education: A comprehensive bibliometric analysis study. International Journal of Assessment Tools in Education, 11(4), 622-646. https://doi.org/10.21449/ijate.1467476
  6. Ebad, S. A., Alhashmi, A., Amara, M., Miled, A. B., Saqib, M. (2025). Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): A Systematic Review. Healthcare (Basel, Switzerland), 13(7), 817. https://doi.org/10.3390/healthcare13070817
  7. Efe, A.,Tunçbilek, M. (2023). Yapay Zekâ Algoritmalari ile Dönüşen Denetim Araçlari Üzerine Bir Değerlendirme. Denetişim, (27), 72-102. https://doi.org/10.58348/denetisim.1195294
  8. Guerin, F. (2023). Projection: a mechanism for human-like reasoning in Artificial Intelligence. Journal of experimental & theoretical artificial intelligence, 35(8), 1269-1293. https://doi.org/10.1080/0952813X.2022.2078889
  9. Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Molecular diversity, 25(3), 1315–1360. https://doi.org/10.1007/s11030-021-10217-3
  10. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
APA
Ağtürk, G., Özcan, F. Ö., & Özen, E. N. (2026). Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students. Zeugma Biological Science, 7(1), 17-27. https://doi.org/10.55549/zbs.1830779
AMA
1.Ağtürk G, Özcan FÖ, Özen EN. Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students. zbs. 2026;7(1):17-27. doi:10.55549/zbs.1830779
Chicago
Ağtürk, Gökhan, Fatma Özsel Özcan, and Elif Naz Özen. 2026. “Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students”. Zeugma Biological Science 7 (1): 17-27. https://doi.org/10.55549/zbs.1830779.
EndNote
Ağtürk G, Özcan FÖ, Özen EN (January 1, 2026) Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students. Zeugma Biological Science 7 1 17–27.
IEEE
[1]G. Ağtürk, F. Ö. Özcan, and E. N. Özen, “Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students”, zbs, vol. 7, no. 1, pp. 17–27, Jan. 2026, doi: 10.55549/zbs.1830779.
ISNAD
Ağtürk, Gökhan - Özcan, Fatma Özsel - Özen, Elif Naz. “Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students”. Zeugma Biological Science 7/1 (January 1, 2026): 17-27. https://doi.org/10.55549/zbs.1830779.
JAMA
1.Ağtürk G, Özcan FÖ, Özen EN. Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students. zbs. 2026;7:17–27.
MLA
Ağtürk, Gökhan, et al. “Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students”. Zeugma Biological Science, vol. 7, no. 1, Jan. 2026, pp. 17-27, doi:10.55549/zbs.1830779.
Vancouver
1.Gökhan Ağtürk, Fatma Özsel Özcan, Elif Naz Özen. Assessment of Artificial Intelligence Knowledge Level and Awareness Among Medical and Health Sciences Faculty Students. zbs. 2026 Jan. 1;7(1):17-2. doi:10.55549/zbs.1830779