Doolan Paul, Michopoulou Sofia, Meades Richard
Germany Oncology Centre, Limassol, Cyprus.
Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
Phys Med Biol. 2025 Jul 9;70(14). doi: 10.1088/1361-6560/ade92b.
Medical physics and clinical engineering (MPCE) professionals have a critical role in the safe and effective deployment of artificial intelligence (AI) in healthcare, however their attitudes and opinions towards AI are not well understood. A 2024 survey was launched by the Institute of Physics and Engineering in Medicine to UK MPCE professionals to gather information on the current usage of AI, whether it is believed their role will change, if there is any fear about job replacement, the training being conducted, levels of preparedness, concerns about AI introduction, and barriers to AI deployment. A total of 409 responses were received. It was found that AI is widely used (59% of respondents), with wide disparities between disciplines (radiotherapy 76% compared to clinical engineering 37%). Job losses are predicted by 40% of staff, with junior NHS staff more concerned. Nearly 80% of respondents are investing in their own learning, but only 23% know where to look for training resources. Only 10% of the cohort had some prior AI education. Without prior education on AI, only 13% of respondents feel prepared for AI introduction; but this increases by a factor of three with education. Lack of training and knowledge is the major concern and barrier to AI adoption, while lack of a clear AI governance framework was also frequently cited. This survey provides a snapshot of the current status and attitudes of the UK MPCE workforce towards AI and should be used in guiding future efforts in training and education, addressing discipline disparities and overcoming deployment barriers.
医学物理与临床工程(MPCE)专业人员在医疗保健领域安全有效地部署人工智能(AI)方面发挥着关键作用,然而,人们对他们对AI的态度和看法却了解不足。英国物理与工程医学学会对英国的MPCE专业人员开展了一项2024年调查,以收集有关AI当前使用情况的信息,了解他们是否认为自己的角色会发生变化,是否担心工作被取代,正在进行的培训情况,准备程度,对引入AI的担忧以及AI部署的障碍。共收到409份回复。结果发现,AI被广泛使用(59%的受访者),各学科之间存在很大差异(放射治疗领域为76%,而临床工程领域为37%)。40%的员工预计会失业,英国国家医疗服务体系(NHS)的初级员工更为担忧。近80%的受访者正在投入自身学习,但只有23%的人知道在哪里寻找培训资源。该群体中只有10%的人此前接受过一些AI教育。在没有接受过AI相关教育的情况下,只有13%的受访者觉得自己为引入AI做好了准备;但接受教育后这一比例会提高两倍。缺乏培训和知识是采用AI的主要担忧和障碍,同时缺乏明确的AI治理框架也经常被提及。这项调查提供了英国MPCE从业人员对AI的当前现状和态度的概况,应用于指导未来在培训和教育方面的工作,解决学科差异并克服部署障碍。