Perceptions; attitudes and anxiety toward artificial intelligence among medical students: A cross-sectional study

Authors : Kübra Uyar Zekey, Fethi Sada Zekey
Pages : 108-116
Doi:10.21673/anadoluklin.1770408
View : 187 | Download : 500
Publication Date : 2026-01-24
Article Type : Research Paper
Abstract :Aim: The use of artificial intelligence (AI) technologies in the field of healthcare is becoming increasingly widespread. Due to their dynamic and evolving nature; AI technologies may create anxiety among future healthcare professionals. This study aimed to assess medical students’ anxiety levels related to AI and their perceptions and attitudes toward AI applications in healthcare. Methods: This cross-sectional study was conducted at Yozgat Bozok University Faculty of Medicine. A questionnaire evaluating students’ perceptions and attitudes on the use of AI in healthcare and the Artificial Intelligence Anxiety Scale was administered to medical students. Results: A total of 490 medical students (68.72% of all students) participated in the study. The participants’ mean score on the Artificial Intelligence Anxiety Scale was 47.09±12.78 (min:16- max:80). Female participants had significantly higher AI anxiety scores compared to male participants (p<0.001). Participants who were knowledgeable about AI applications in healthcare had significantly lower anxiety scores (p=0.002). Participants who trusted AI-generated diagnoses based on patient records had lower anxiety scores (p =0.006). Participants who did not find AI-generated treatment algorithms reliable had significantly higher anxiety scores (p=0.001). Participants who lacked knowledge about AI applications in healthcare were significantly less willing to utilize AI-generated treatment algorithms (p=0.002). Participants who lacked trust in AI-generated diagnoses based on patient records were significantly less likely to recommend AI-generated treatments to patients (p<0.001). Conclusions: Artificial intelligence anxiety among medical students is associated with knowledge and trust in AI. Enhancing students’ understanding of AI may increase trust; improve attitudes toward AI; and support its responsible integration into future clinical practice.
Keywords : Anksiyete, tıp eğitimi, tıp öğrencisi, tutum, yapay zeka

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