Stogiannos Nikolaos, Walsh Gemma, Ohene-Botwe Benard, McHugh Kevin, Potts Ben, Tam Winnie, O'Sullivan Chris, Quinsten Anton Sheahan, Gibson Christopher, Gorga Rodrigo Garcia, Sipos David, Dybeli Elona, Zanardo Moreno, Sá Dos Reis Cláudia, Mekis Nejc, Buissink Carst, England Andrew, Beardmore Charlotte, Cunha Altino, Goodall Amanda, John-Matthews Janice St, McEntee Mark, Kyratsis Yiannis, Malamateniou Christina
Department of Midwifery & Radiography, City St George's, University of London, London, UK.
Magnitiki Tomografia Kerkyras, Kerkira, Greece.
Insights Imaging. 2025 Feb 17;16(1):43. doi: 10.1186/s13244-025-01918-6.
Radiographers use advanced medical imaging and radiotherapy (MIRT) equipment. They are also a digitally mature and digitally resilient workforce in healthcare. Artificial intelligence is already changing their clinical practice and roles in data acquisition, post-processing, and workflow management. It is therefore vital to understand the impact of AI on the careers, roles and professional identity of radiographers, as key stakeholders of the digital transformation of healthcare within the medical imaging ecosystem.
A European radiographer survey, endorsed by the European Federation of Radiographer Societies (EFRS), was distributed online. It was piloted with twelve radiographers and translated into eight languages. Although this study included both qualitative and quantitative results, this paper emphasises the quantitative aspect.
A total of 2206 European radiographers have responded from 37 different countries. Despite some concerns around workforce deskilling, future professional identity, and job prospects, participants showed overall optimistic views about the use of AI in healthcare. This was particularly strong for those with prior AI education (mean: 2.15 vs. 1.89; p-value: < 0.001), hands-on experience with AI (correlation: 0.047; p-value: 0.038), from countries with higher digital literacy (mean: 2.00 vs.1.93; p-value: 0.027) and a higher academic level of radiography education (mean: 3.28 vs. 3.15; p-value: 0.002). Men appeared slightly more enthused about the development of technological skills and women about the honing of patient-centred care skills. Finally, interprofessional collaboration was seen as essential not only for the seamless clinical integration of AI but also for supporting patient benefit.
While AI implementation advances, AI education needs to keep at pace to ensure acceptability, trust, and safe use of this technology by healthcare professionals, minimising their concerns around professional role changes and enabling them to see the opportunities of service transformation.
This paper aims to map out the perceived impact of AI on the professional identity and careers of European radiographers.
AI is impacting radiographers' clinical practice and changing their professional identity. Despite increasing AI awareness, AI education is still lacking across Europe. AI education is key for AI acceptability and trust by radiographers, which facilitates AI implementation and service transformation.
放射技师使用先进的医学成像和放射治疗（MIRT）设备。他们也是医疗保健领域中数字成熟且具备数字适应能力的劳动力群体。人工智能已经在改变他们在数据采集、后处理和工作流程管理方面的临床实践及角色。因此，了解人工智能对放射技师的职业、角色和专业身份的影响至关重要，因为放射技师是医学成像生态系统中医疗保健数字转型的关键利益相关者。
一项由欧洲放射技师协会联合会（EFRS）认可的欧洲放射技师调查在线发布。该调查在12名放射技师中进行了预测试，并被翻译成8种语言。尽管本研究包括定性和定量结果，但本文重点强调定量方面。
共有来自37个不同国家的2206名欧洲放射技师做出了回应。尽管对劳动力技能退化、未来专业身份和就业前景存在一些担忧，但参与者对医疗保健中人工智能的使用总体持乐观态度。对于那些接受过人工智能相关教育（平均值：2.15对1.89；p值：<0.001）、有过人工智能实践经验（相关性：0.047；p值：0.038）、来自数字素养较高国家（平均值：2.00对1.93；p值：0.027）以及接受过更高学术水平放射学教育（平均值：3.28对3.15；p值：0.002）的人来说，这种乐观态度尤为强烈。男性似乎对技术技能的发展略感兴趣，而女性则对以患者为中心的护理技能的提升更感兴趣。最后，跨专业协作不仅被视为人工智能无缝临床整合的关键，也是实现患者受益的关键。
随着人工智能的实施不断推进，人工智能教育需要跟上步伐，以确保医疗保健专业人员对该技术的接受度、信任度和安全使用，将他们对专业角色变化的担忧降至最低，并使他们能够看到服务转型的机会。
本文旨在梳理人工智能对欧洲放射技师专业身份和职业的感知影响。
人工智能正在影响放射技师的临床实践并改变他们的专业身份。尽管对人工智能的认识不断提高，但欧洲各地仍缺乏人工智能教育。人工智能教育是放射技师接受和信任人工智能的关键，这有助于人工智能的实施和服务转型。
