Esfandiari Esfandiar, Kalroozi Fatemeh, Mehrabi Nahid, Hosseini Yasaman
Cognitive Neuroscience Research Center, Nursing Department, Aja University of Medical Sciences, West Fatemi Blvd, Tehran, Iran.
Pediatric Nursing Department, College of Nursing, Aja University of Medical Sciences, Shariati St., Kaj St., Tehran, Iran.
J Educ Health Promot. 2024 Jul 29;13:271. doi: 10.4103/jehp.jehp_898_23. eCollection 2024.
The use of artificial intelligence (AI) in medical sciences promises many benefits. Applying the benefits of this science in developing countries is still in the development stage. This important point depends considerably on the knowledge and acceptance levels of physicians.
This study was a cross-sectional descriptive-analytical study that was conducted on 169 medical doctors using a purposive sampling method. To collect data, questionnaires were used to obtain demographic characteristics, a questionnaire to investigate the knowledge of AI and its applications, and an acceptability questionnaire to investigate AI. For data analysis, SPSS (Statistical Package for the Social Sciences) version 22 and appropriate descriptive and inferential statistical tests were used, and a significance level of < 0.05 was considered.
Most of the participants (102) were male (60.4%), married (144) (85.20%), had specialized doctorate education (97) (57.4%), and had average work experience of 10.78 ± 6.67 years. The mean and standard deviation of knowledge about AI were 9.54 ± 3.04, and acceptability was 81.64 ± 13.83. Multiple linear regressions showed that work history ( = 0.017) and history of participation in AI training courses ( = 0.007) are effective in knowledge and acceptability of AI.
The knowledge and acceptability of the use of AI among the studied physicians were at an average level. However, due to the importance of using AI in medical sciences and the inevitable use of this technology in the near future, especially in medical sciences in crisis, war, and military conditions, it is necessary for the policymakers of the health system to improve the knowledge and methods of working with this technology in the medical staff in addition to providing the infrastructure.
人工智能（AI）在医学领域的应用前景广阔。在发展中国家应用这门科学的益处仍处于发展阶段。这一要点在很大程度上取决于医生的知识水平和接受程度。
本研究为横断面描述性分析研究，采用立意抽样法对169名医生进行调查。为收集数据，使用问卷获取人口统计学特征，用一份问卷调查对AI及其应用的了解情况，并用一份可接受性问卷调查对AI的接受情况。数据分析采用社会科学统计软件包（SPSS）22版及适当的描述性和推断性统计检验，显著性水平设定为<0.05。
大多数参与者（102名）为男性（60.4%），已婚（144名）（85.20%），拥有专业博士学历（97名）（57.4%），平均工作经验为10.78±6.67年。对AI的知识平均分为9.54±3.04，接受度为81.64±13.83。多元线性回归显示，工作经历（β = 0.017）和参加AI培训课程的经历（β = 0.007）对AI的知识和接受度有影响。
在所研究的医生中，对AI应用的知识和接受度处于中等水平。然而，鉴于AI在医学领域应用的重要性以及在不久的将来不可避免地会使用这一技术，尤其是在危机、战争和军事条件下的医学领域，卫生系统的政策制定者除了提供基础设施外，还必须提高医务人员对这一技术的知识水平和使用方法。
