Volume 21, Issue 1 (Spring 2026)
jmed 2026, 21(1): 1467-1480 |
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Rastegar ghavi Z, Najaryan N, Cheraghi Nik A, Kazemzadeh N, Etemadololama A, Karimi A et al . Awareness and Attitudes of Medical Sciences Students at Shahid Sadoughi University of Medical Sciences toward Artificial Intelligence: Challenges and Opportunities in Modern Medical Education. jmed 2026; 21 (1) :1467-1480
URL: http://jmed.ssu.ac.ir/article-1-1584-en.html
URL: http://jmed.ssu.ac.ir/article-1-1584-en.html
Zahra Rastegar ghavi 
, Negar Najaryan , Amirreza Cheraghi Nik , Nafiseh Kazemzadeh , Azadeh Etemadololama , Amirhossein Karimi , Hamid Yazdaninejad *
, Negar Najaryan , Amirreza Cheraghi Nik , Nafiseh Kazemzadeh , Azadeh Etemadololama , Amirhossein Karimi , Hamid Yazdaninejad *
Department of Operating Room and Anesthesiology, School of Allied Medical Sciences, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , hyazdaninejhad@gmail.com
Abstract: (65 Views)
Introduction: Rapid advancements in artificial intelligence (AI) have brought significant transformations to healthcare systems and medical education. Medical sciences students' awareness and attitudes toward AI play a crucial role in its acceptance and effective use. This study aimed to assess the level of AI awareness and attitudes among students at Shahid Sadoughi University of Medical Sciences, Yazd, Iran, and examine related demographic factors.
Method: This descriptive cross-sectional study was conducted in 2024 with 500 undergraduate and general medicine (MD) students from multiple faculties. Data were collected using a researcher-developed and standardized questionnaire covering demographics, AI-related awareness, attitudes, and concerns. Content validity was confirmed by 10 experts (CVI = 0.89), and reliability was verified (Cronbach's alpha = 0.83). Data analysis was performed with chi-square test, independent samples t-test, and ANOVA.
Results: Among participants, 62% were female and 90% were under 25 years old. The highest awareness and most positive attitudes were found among medical and midwifery students, while emergency medical services and operating room students showed the lowest levels (P < 0.05). Mean awareness and attitude scores were significantly higher in females than males (P < 0.05), with no significant differences across age groups. Concerns about job displacement due to AI were also prominent.
Conclusion: Although students showed positive attitudes toward AI, their conceptual and practical awareness was moderate. Integrating structured educational programs focusing on practical and ethical aspects of AI into the medical curriculum is essential.
Method: This descriptive cross-sectional study was conducted in 2024 with 500 undergraduate and general medicine (MD) students from multiple faculties. Data were collected using a researcher-developed and standardized questionnaire covering demographics, AI-related awareness, attitudes, and concerns. Content validity was confirmed by 10 experts (CVI = 0.89), and reliability was verified (Cronbach's alpha = 0.83). Data analysis was performed with chi-square test, independent samples t-test, and ANOVA.
Results: Among participants, 62% were female and 90% were under 25 years old. The highest awareness and most positive attitudes were found among medical and midwifery students, while emergency medical services and operating room students showed the lowest levels (P < 0.05). Mean awareness and attitude scores were significantly higher in females than males (P < 0.05), with no significant differences across age groups. Concerns about job displacement due to AI were also prominent.
Conclusion: Although students showed positive attitudes toward AI, their conceptual and practical awareness was moderate. Integrating structured educational programs focusing on practical and ethical aspects of AI into the medical curriculum is essential.
Keywords: Artificial Intelligence, Awareness, Attitude, Medical Sciences Students, Medical Education
Type of Study: Research |
Subject:
Medical Education
Received: 2025/12/16 | Accepted: 2026/06/6 | Published: 2026/06/16
Received: 2025/12/16 | Accepted: 2026/06/6 | Published: 2026/06/16
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