SavedAdd your journal

Journals / Journal of Health Sciences and Medicine / 2026 / Volume: 9 Issue: 4

Attitudes of medical students toward Artificial Intelligence and their readiness for medical Artificial Intelligence

Çağatay Han Türkseven(Department of Biophysics, Faculty of Medicine, Mersin University, Mersin, Turkiye.)0000-0002-0584-0661
Betül Sarı(Department of Medical Services and Techniques, Vocational School of Health Services, Mersin University, Mersin, Turkiye)0000-0003-4398-7311
Halil Can Aydemir(Department of Medical Services and Techniques, Vocational School of Health Services, Tarsus University, Mersin, Turkiye.)0000-0002-2643-3336
Mehmet Şengül(Department of Medical Services and Techniques, Health Institutions Management Program, Vocational School, Cag University, Mersin, Turkey.)0000-0002-7917-5078
Melisa Mızrak(Department of Psychology, Faculty of Humanities and Social Sciences, Mersin University, Mersin, Turkiye.)0009-0008-1476-9829
Pages
—
Publication Date
2026-07-20
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: These findings suggest that positive orientation toward AI co-occurs with higher perceived readiness.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aims: Artificial Intelligence (AI) is increasingly integrated into healthcare; however, how medical students’ attitudes toward AI relate to perceived readiness for AI-integrated practice remains unclear.
📊
Key Findings & Data:Methods: This cross-sectional study surveyed 359 undergraduate medical students in Mersin, Turkiye using the General Attitudes Toward Artificial Intelligence Scale (GAAIS) and the Medical AI Readiness Scale for Medical Students (MAIRS-MS).
💡
Conclusion & Impact:Conclusion: These findings suggest that positive orientation toward AI co-occurs with higher perceived readiness.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Artificial Intelligence · Artificial Intelligence attitudes · Artificial Intelligence readiness

Abstract

Aims: Artificial Intelligence (AI) is increasingly integrated into healthcare; however, how medical students’ attitudes toward AI relate to perceived readiness for AI-integrated practice remains unclear. Methods: This cross-sectional study surveyed 359 undergraduate medical students in Mersin, Turkiye using the General Attitudes Toward Artificial Intelligence Scale (GAAIS) and the Medical AI Readiness Scale for Medical Students (MAIRS-MS). Results: Students reported generally favorable attitudes and moderate-to-high readiness across cognitive, skill, foresight, and ethical domains. Positive AI attitudes correlated with all readiness domains and were statistically associated with higher readiness in multiple linear regression analyses (β=0.193-0.463, p<0.001). Negative attitudes were not correlated with readiness but showed small associations with cognitive and foresight readiness (β=0.111-0.117, p<0.05). Following AI-related news was associated with higher attitudes and readiness, whereas ChatGPT use was not. Conclusion: These findings suggest that positive orientation toward AI co-occurs with higher perceived readiness.

🔖

Cite This Article

Türkseven, Ç. H., Sarı, B., Aydemir, H. C., Şengül, M., Mızrak, M. (2026). Attitudes of medical students toward Artificial Intelligence and their readiness for medical Artificial Intelligence. Journal of Health Sciences and Medicine, Volume: 9 Issue: 4. https://doi.org/10.32322/jhsm.1939919

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (21)

  1. Masters K. Artificial Intelligence in medical education. Med Teach. 2019;41(9):976-980. doi:10.1080/0142159X.2019.1595557
  2. Paranjape K, Schinkel M, Nannan Panday R, Car J, Nanayakkara P. Introducing Artificial Intelligence training in medical education. JMIR Med Educ. 2019;5(2). doi:10.2196/16048
  3. Jackson P, Ponath Sukumaran G, Babu C, et al. Artificial Intelligence in medical education: perception among medical students. BMC Med Educ. 2024;24(1):804. doi:10.1186/s12909-024-05760-0
  4. Zheng L, Xiao Y. Refining AI perspectives: assessing the impact of AI curricular on medical students’ attitudes towards Artificial Intelligence. BMC Med Educ. 2025;25(1):1115. doi:10.1186/s12909-025-07669-8
  5. Moldt JA, Festl-Wietek T, Madany Mamlouk A, Nieselt K, Fuhl W, Herrmann-Werner A. Chatbots for future docs: exploring medical students’ attitudes and knowledge towards Artificial Intelligence and medical chatbots. Med Educ Online. 2023;28(1):2182659. doi:10.1080/10872981.2023.2182659
  6. Stewart J, Lu J, Gahungu N, et al. Western Australian medical students’ attitudes towards Artificial Intelligence in healthcare. PLoS One. 2023;18:8. doi:10.1371/journal.pone.0290642
  7. Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatli A. Artificial Intelligence in medical education: a cross-sectional needs assessment. BMC Med Educ. 2022;22(1):772. doi:10.1186/s12909-022-03852-3
  8. Rjoop A, Al-Qudah M, Alkhasawneh R, et al. Awareness and attitude toward Artificial Intelligence among medical students and pathology trainees: survey study. JMIR Med Educ. 2025;11. doi:10.2196/62669
  9. Tung AYZ, Dong LW. Malaysian medical students’ attitudes and readiness toward AI (Artificial Intelligence): a cross-sectional study. J Med Educ Curric Dev. 2023;10:23821205231201164. doi:10.1177/2382120 5231201164
  10. Lugito NPH, Cucunawangsih C, Suryadinata N, et al. Readiness, knowledge, and perception towards Artificial Intelligence of medical students at Faculty of Medicine, Pelita Harapan University, Indonesia: a cross-sectional study. BMC Med Educ. 2024;24(1):1044. doi:10.1186/s12909-024-06058-x
  11. Almalki M, Alkhamis MA, Khairallah FM, Choukou MA. Perceived Artificial Intelligence readiness in medical and health sciences education: a survey study of students in Saudi Arabia. BMC Med Educ. 2025;25(1):439. doi:10.1186/s12909-025-06995-1
  12. AlZaabi A, Masters K. Assessing medical students’ readiness for Artificial Intelligence after pre-clinical training. BMC Med Educ. 2025; 25(1):824. doi:10.1186/s12909-025-07008-x
  13. Syeda LH, Batool Z, Hayder Z, Ali S. Medical undergraduate students’ awareness and perspectives on Artificial Intelligence: a developing nation’s context. BMC Med Educ. 2025;25(1):1060. doi:10.1186/s12909-025-07223-6
  14. Naseer MA, Saeed S, Afzal A, Ali S, Malik MGR. Navigating the integration of Artificial Intelligence in the medical education curriculum: a mixed-methods study exploring the perspectives of medical students and faculty in Pakistan. BMC Med Educ. 2025;25(1):273. doi:10.1186/s12909-024-06552-2
  15. Rani S, Kumari A, Ekka SC, Chakraborty R, Ekka S. Perception of medical students and faculty regarding the use of Artificial Intelligence (AI) in medical education: a cross-sectional study. Cureus. 2025;17:1. doi:10.7759/cureus.85348
  16. Rezazadeh H, Mahani AM, Salajegheh M. Insights into the future: assessing medical students’ Artificial Intelligence readiness-a cross-sectional study at Kerman University of Medical Sciences (2022). Health Sci Rep. 2025;8:5. doi:10.1002/hsr2.70870
  17. Schepman A, Rodway P. Initial validation of the General Attitudes towards Artificial Intelligence Scale. Comput Hum Behav Rep. 2020;1: 100014. doi:10.1016/j.chbr.2020.100014
  18. Schepman A, Rodway P. The General Attitudes towards Artificial Intelligence Scale (GAAIS): confirmatory validation and associations with personality, corporate distrust, and general trust. Int J Hum Comput Interact. 2023;39(13):2724-2741. doi:10.1080/10447318.2022.2085400
  19. Kaya F, Aydin F, Schepman A, Rodway P, Yetişensoy O, Demir Kaya M. The roles of personality traits, AI anxiety, and demographic factors in attitudes toward Artificial Intelligence. Int J Hum Comput Interact. 2024;40(2):497-514. doi:10.1080/10447318.2022.2151730
  20. Karaca O, Çalışkan SA, Demir K. Medical Artificial Intelligence readiness scale for medical students (MAIRS-MS): development, validity and reliability study. BMC Med Educ. 2021;21(1):112. doi:10.1186/s12909-021-02546-6
  21. Dhurandhar D, Dhamande M, C S, Bhadoria P, Chandrakar T, Agrawal J. Exploring medical Artificial Intelligence readiness among future physicians: insights from a medical college in Central India. Cureus. 2025;17:1. doi:10.7759/cureus.76835