Department of Radiology, Vejle Hospital - Part of Lillebaelt Hospital, Vejle, Denmark; Department of Radiology, Kolding Hospital- Part of Lillebaelt Hospital, Kolding, Denmark; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark; Discipline of Medical Imaging & Radiation Therapy, School of Medicine, University College Cork, Ireland.
Department of Regional Health Research, University of Southern Denmark, Odense, Denmark; Department of Radiology and Nuclear Medicine, University Hospital of Southern Denmark, Esbjerg, Denmark; IRIS - Imaging Research Initiative Southwest, University Hospital of Southern Denmark, Esbjerg, Denmark; Radiography and Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.
Radiography (Lond). 2024 May;30(3):776-783. doi: 10.1016/j.radi.2024.02.020. Epub 2024 Mar 9.
The integration of artificial intelligence (AI) into the domain of radiography holds substantial potential in various aspects including workflow efficiency, image processing, patient positioning, and quality assurance. The successful implementation of AI within a Radiology department necessitates the participation of key stakeholders, particularly radiographers. The study aimed to provide a comprehensive investigation about Nordic radiographers' perspectives and attitudes towards AI in radiography.
An online 29-item survey was distributed via social media platforms to Nordic students and radiographers working in Denmark, Norway, Sweden, Iceland, Greenland, and the Faroe Islands including items on demographics, specialization, educational background, place of work and perspectives and knowledge on AI. The items were a mix of closed-type and scaled questions, with the option for free-text responses when relevant.
The survey received responses from all Nordic countries with 586 respondents, 26.8% males, 72.1% females, and 1.1% non-binary/self-defined or preferred not to say. The mean age was 37.2 with a standard deviation (SD) of ±12.1 years, and the mean number of years since qualification was 14.2 SD ± 10.3 years. A total of 43% (n = 254) of the respondents had not received any AI training in clinical practice. Whereas 13% (n = 76) had received AI during radiography undergrad training. A total of 77.9% (n = 412) expressed interest in pursuing AI education. The majority of respondents were aware of the potential use of AI (n = 485, 82.8%) and 39.1% (n = 204) had no reservations about AI.
Overall, this study found that Nordic radiographers have a positive attitude toward AI. Very limited training or education has been provided to the radiographers. Especially since 82.8% reports on plans to implement AI in clinical practice. In general, awareness of AI applications is high, but the educational level is low for Nordic radiographers.
This study emphasises the favourable view of AI held by students and Nordic radiographers. However, there is a need for continuous professional development to facilitate the implementation and effective utilization of AI tools within the field of radiography.
人工智能（AI）在放射学领域的整合在工作流程效率、图像处理、患者定位和质量保证等方面具有巨大潜力。要在放射科成功实施 AI，需要关键利益相关者的参与，特别是放射技师。本研究旨在全面调查北欧放射技师对放射学中 AI 的看法和态度。
通过社交媒体平台向丹麦、挪威、瑞典、冰岛、格陵兰和法罗群岛的北欧学生和在职放射技师分发了一份在线 29 项调查，内容包括人口统计学、专业、教育背景、工作地点以及对 AI 的看法和知识。这些项目包括封闭式和量表式问题，如有必要，还有自由文本回复选项。
调查收到了来自所有北欧国家的回复，共有 586 名受访者，其中男性占 26.8%，女性占 72.1%，1.1%为非二元性别/自我定义或选择不回答。平均年龄为 37.2 岁，标准差（SD）为±12.1 岁，自资格认证以来的平均年限为 14.2 SD±10.3 年。共有 43%（n=254）的受访者在临床实践中未接受过任何 AI 培训。而 13%（n=76）在放射学本科培训期间接受过 AI 培训。共有 77.9%（n=412）表示有兴趣接受 AI 教育。大多数受访者意识到 AI 的潜在用途（n=485，82.8%），39.1%（n=204）对 AI 没有保留意见。
总体而言，这项研究发现北欧放射技师对 AI 持积极态度。仅向放射技师提供了非常有限的培训或教育。特别是因为 82.8%的受访者报告计划在临床实践中实施 AI。一般来说，对 AI 应用的认识很高，但北欧放射技师的教育水平较低。
这项研究强调了学生和北欧放射技师对 AI 的有利看法。然而，需要不断进行专业发展，以促进 AI 工具在放射学领域的实施和有效利用。
