IPEM topical report: results of a 2024 UK survey of artificial intelligence in medical physics and clinical engineering.

IF 3.4 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Paul Doolan, Sofia Michopoulou, Richard Meades
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Abstract

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.

IPEM专题报告:2024年英国医学物理和临床工程人工智能调查结果。
医学物理和临床工程(MPCE)专业人员在安全有效地部署人工智能在医疗保健中的作用至关重要,但他们对人工智能的态度和观点还没有得到很好的理解。医学物理与工程研究所(Institute of Physics and Engineering in Medicine)于2024年对英国MPCE专业人员发起了一项调查,以收集有关人工智能当前使用情况的信息,是否认为他们的角色会发生变化,是否存在对工作替代的担忧,正在进行的培训,准备程度,对人工智能引入的担忧以及人工智能部署的障碍。 ;共收到409份回复。研究发现,人工智能被广泛使用(59%的受访者),学科之间存在很大差异(放疗76%,而临床工程37%)。预计将有40%的员工失业,初级NHS员工的担忧更大。近80%的受访者正在为自己的学习投资,但只有23%的人知道在哪里寻找培训资源。只有10%的人之前接受过一些人工智能教育。如果没有事先接受过人工智能教育,只有13%的受访者对人工智能的引入做好了准备;但随着教育程度的提高,这种情况会增加三倍。缺乏培训和知识是人工智能采用的主要问题和障碍,而缺乏明确的人工智能治理框架也经常被提及。这项调查提供了英国MPCE员工对人工智能的现状和态度的快照,应用于指导未来的培训和教育工作,解决学科差异和克服部署障碍。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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