Perceptions of Iranian Medical Students on Artificial Intelligence in Healthcare and Curricular Integration

Teaching medical students about AI's role in medicine is crucial for equipping future healthcare professionals with the knowledge and skills needed to leverage advanced technologies for improved diagnosis, treatment, and patient care. This study investigates the perceptions of Iranian medical students regarding the role of artificial intelligence in the future of healthcare and its integration into their curricula. A total of 371 medical students, recruited through online forums and snowball sampling, participated in an online survey. Among the respondents, 208 were female, and 163 were male. The findings revealed that the majority of participants believed AI would have a transformative impact on the medical profession in the future. However, the students expressed dissatisfaction with the current level of AI-related education in their medical curricula, emphasizing its insufficiency for adequately preparing them to leverage AI technologies in their future careers. Furthermore, respondents highlighted the age of faculty members as a significant barrier, suggesting that older professors may struggle to adapt to new communication technologies, thereby hindering effective AI integration. The respondents emphasized the need for Iranian medical schools to modernize their curricula and equip both students and educators with the skills and knowledge required to work in an AI-driven healthcare landscape.

Authors

Publication Details

Journal
International Journal of Advanced Multidisciplinary Research and Studies
Published
2025-06-11
DOI
https://doi.org/10.62225/2583049x.2025.5.3.4425
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Perceptions of Iranian Medical Students on Artificial Intelligence in Healthcare and Curricular Integration

Milad Zamani, Seyed Hamzeh Hosseini, Sahand Sakhaei, Simindokht Tomraee
1 citations
International Journal of Advanced Multidisciplinary Research and Studies
Artificial Intelligence in Healthcare and Education
0.65
article

Perceptions of Iranian Medical Students on Artificial Intelligence in Healthcare and Curricular Integration

Milad Zamani, Seyed Hamzeh Hosseini, Sahand Sakhaei, Simindokht Tomraee
article en
1 citations

Abstract

Teaching medical students about AI's role in medicine is crucial for equipping future healthcare professionals with the knowledge and skills needed to leverage advanced technologies for improved diagnosis, treatment, and patient care. This study investigates the perceptions of Iranian medical students regarding the role of artificial intelligence in the future of healthcare and its integration into their curricula. A total of 371 medical students, recruited through online forums and snowball sampling, participated in an online survey. Among the respondents, 208 were female, and 163 were male. The findings revealed that the majority of participants believed AI would have a transformative impact on the medical profession in the future. However, the students expressed dissatisfaction with the current level of AI-related education in their medical curricula, emphasizing its insufficiency for adequately preparing them to leverage AI technologies in their future careers. Furthermore, respondents highlighted the age of faculty members as a significant barrier, suggesting that older professors may struggle to adapt to new communication technologies, thereby hindering effective AI integration. The respondents emphasized the need for Iranian medical schools to modernize their curricula and equip both students and educators with the skills and knowledge required to work in an AI-driven healthcare landscape.

International Journal of Advanced Multidisciplinary Research and StudiesVol. 5(3)
Openalex Percentile: Top 24%
Artificial Intelligence in Healthcare and Education
0.65
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Perceptions of Iranian Medical Students on Artificial Intelligence in Healthcare and Curricular Integration — Milad Zamani, Seyed Hamzeh Hosseini, et al. · International Journal of Advanced Multidisciplinary Research and Studies (2025) | TGRS Research Map | TGRS