Volume 28, Issue 1 (5-2025)
jha 2025, 28(1): 40-55 |
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Moallem E, Ghavami V, Moghri J, Marvi A, Najafi M, Tabatabaee S S. Medical Students’ Attitudes towards Artificial Intelligence and Educational Needs: A Cross-sectional Study. jha 2025; 28 (1) :40-55
URL: http://jha.iums.ac.ir/article-1-4660-en.html
URL: http://jha.iums.ac.ir/article-1-4660-en.html
Ehsan Moallem1 
, Vahid Ghavami2 , Javad Moghri3 , Abolfazl Marvi4 , Mahboobe Najafi5 , Seyed saeed Tabatabaee6
, Vahid Ghavami2 , Javad Moghri3 , Abolfazl Marvi4 , Mahboobe Najafi5 , Seyed saeed Tabatabaee6
1- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
2- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Department of Management Sciences and Health Economics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
4- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
5- Department of Public Health, School of Health, Torbat Heydarieh University of Medical Sciences, Torbat Heydarieh, Iran.
6- Department of Management Sciences and Health Economics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. ,tabatabaees@mums.ac.ir
2- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Department of Management Sciences and Health Economics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
4- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
5- Department of Public Health, School of Health, Torbat Heydarieh University of Medical Sciences, Torbat Heydarieh, Iran.
6- Department of Management Sciences and Health Economics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. ,
Abstract: (1697 Views)
Introduction: Artificial intelligence (AI) has the potential to transform healthcare. However, evidence demonstrates that the current medical education system is not preparing future physicians for the AI revolution in healthcare. This study aimed to investigate medical students’ attitudes towards AI and assess their educational needs.
Methods: This cross-sectional study was conducted on 251 medical students at Mashhad University of Medical Sciences in 2024. The data were collected using a structured questionnaire, the validity and reliability of which were confirmed. The data were analyzed using descriptive statistics, independent t-tests and analysis of variance at a significance level of P<0.05 using SPSS-26 software.
Results: Most students (76%) had not received any training in artificial intelligence; however, their attitudes towards it were positive, with 94.4% believing that artificial intelligence would facilitate physicians' access to information, and 88.8% stating that it helps them make more accurate decisions. On the other hand, concerns such as questioning the credibility of the medical profession by 73.7% and not being competent enough to inform patients about the risks of artificial intelligence were reported by 53.8% of students. Knowledge and skills related to AI applications, AI in scientific research, and AI applications to reduce medical errors were the educational needs of 91.2%, 89.2%, and 88.8% of students, respectively.
Conclusion: Considering the low awareness of medical students in the field of artificial intelligence and inadequate training provided to them on the one hand, and their positive attitude toward artificial intelligence on the other, it is suggested that, based on students' educational needs, artificial intelligence topics should be integrated into both the medical curriculum and extracurricular programs.
Methods: This cross-sectional study was conducted on 251 medical students at Mashhad University of Medical Sciences in 2024. The data were collected using a structured questionnaire, the validity and reliability of which were confirmed. The data were analyzed using descriptive statistics, independent t-tests and analysis of variance at a significance level of P<0.05 using SPSS-26 software.
Results: Most students (76%) had not received any training in artificial intelligence; however, their attitudes towards it were positive, with 94.4% believing that artificial intelligence would facilitate physicians' access to information, and 88.8% stating that it helps them make more accurate decisions. On the other hand, concerns such as questioning the credibility of the medical profession by 73.7% and not being competent enough to inform patients about the risks of artificial intelligence were reported by 53.8% of students. Knowledge and skills related to AI applications, AI in scientific research, and AI applications to reduce medical errors were the educational needs of 91.2%, 89.2%, and 88.8% of students, respectively.
Conclusion: Considering the low awareness of medical students in the field of artificial intelligence and inadequate training provided to them on the one hand, and their positive attitude toward artificial intelligence on the other, it is suggested that, based on students' educational needs, artificial intelligence topics should be integrated into both the medical curriculum and extracurricular programs.
Keywords: Artificial intelligence, Medical students, Medical education, Educational needs assessment, Attitude
Type of Study: Research |
Subject:
Health Policy
Received: 2025/02/2 | Accepted: 2025/07/27 | Published: 2025/09/3
Received: 2025/02/2 | Accepted: 2025/07/27 | Published: 2025/09/3
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