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Dergiler / 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
Sayfa
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Yayın Tarihi
2026-07-20
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri: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).
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Sonuç & Katkı:Conclusion: These findings suggest that positive orientation toward AI co-occurs with higher perceived readiness.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler: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.

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Bu Makaleye Atıf Yap

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

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