Mousavi Baigi Seyyedeh Fatemeh, Sarbaz Masoumeh, Darroudi Ali, Kimiafar Khalil
Department of Health Information Technology School of Paramedical and Rehabilitation Sciences Mashhad Iran.
Student Research Committee Mashhad University of Medical Sciences Mashhad Iran.
Health Sci Rep. 2025 Aug 4;8(8):e71046. doi: 10.1002/hsr2.71046. eCollection 2025 Aug.
This study aimed to investigate the attitude of medical and paramedical students at Mashhad (Northeast of Iran) regarding artificial intelligence (AI).
This cross-sectional study was conducted from April to June 2023. A predeveloped standard questionnaire was used to collect the data. We used the proportional per-size sampling method with email distribution containing explanations and a link to a web-based survey.
A total of 208 students answered the survey (response rate: 98%). We did not find any significant difference between the AI attitude of students in the academic field ( = 0.505), professional interest ( = 0.609), and educational level ( = 0.128). Overall, 61.9% of medical and 67.4% of paramedical students were optimistic about the role of AI. However, a considerable proportion of students struggled to accurately define AI, reflecting gaps in conceptual familiarity rather than technical knowledge (paramedical students = 56.62% and medical students = 45.26%).
This study explored medical and paramedical students' perceived understanding of AI and their conceptual limitations. Identifying the positive and negative attitudes of students who are the future employees of the healthcare system can help planners and policymakers in the field of AI in health design the road map of the future of AI in health in the best way.
本研究旨在调查伊朗东北部马什哈德的医学和准医学专业学生对人工智能（AI）的态度。
本横断面研究于2023年4月至6月进行。使用预先制定的标准问卷收集数据。我们采用按比例大小抽样方法，通过电子邮件分发包含解释和基于网络调查链接的问卷。
共有208名学生回答了调查（回复率：98%）。我们发现学生在学术领域（=0.505）、专业兴趣（=0.609）和教育水平（=0.128）方面对人工智能的态度没有显著差异。总体而言，61.9%的医学专业学生和67.4%的准医学专业学生对人工智能的作用持乐观态度。然而，相当一部分学生难以准确界定人工智能，这反映出概念熟悉度方面的差距，而非技术知识方面的差距（准医学专业学生为56.62%，医学专业学生为45.26%）。
本研究探讨了医学和准医学专业学生对人工智能的认知理解及其概念局限性。了解作为医疗保健系统未来员工的学生的积极和消极态度，有助于健康领域人工智能方面的规划者和政策制定者以最佳方式设计人工智能在健康领域的未来路线图。
