Radiography and Diagnostic Imaging, School of Medicine, University College Dublin, Ireland.
Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Ireland. Electronic address: https://twitter.com/odonovmt.
Radiography (Lond). 2021 Oct;27 Suppl 1:S74-S82. doi: 10.1016/j.radi.2021.07.022. Epub 2021 Aug 25.
Implementation of Artificial Intelligence (AI) into medical imaging is much debated. Diagnostic Radiographers (DRs) and Radiation Therapists (RTTs) are at the forefront of this technological leap, thus an understanding of their views, in particular changes to their current roles, is key to safe, optimal implementation.
An online survey was designed, including themes: role changes, clinical priorities for AI, patient benefits, and education. It was distributed nationally in the Republic of Ireland via the national professional body, clinical management, and social media.
318 DRs and 77 RTTs participated. Priority areas for development included quality assurance, clinical audit, radiation dose optimisation, and improved workflow for DRs and treatment planning algorithm optimisation, clinical audit, and post processing for RTTs. There was resistance regarding AI use for patient facing roles and final image interpretation. 27.6% of DRs and 40.3% of RTTs currently use AI clinically and 46.1% of DRs and 41.2% of RTTs anticipate reduced staffing levels with AI. 64.9% of DRs and 70.6% of RTTs felt AI will be positive for patients, with the majority promoting AI regulation through national legislation. 86.1% of DRs and 94.0% of RTTs were favourable to AI implementation.
This research identifies priority AI development and implementation areas for DRs and RTTs. It thus highlights that DRs and RTTs should be involved in development of AI tools that would best support practice, and that clearly defined pathways for AI implementation into these key professions requires discussion so that optimum use and patient safety can ensue.
Understanding opinions of AI has significant implications for practice, for ensuring optimal product development, implementation, and training, together with planning for potential DR and RTT role changes.
将人工智能(AI)应用于医学成像领域备受争议。放射诊断技师(DRs)和放射治疗师(RTTs)处于这一技术飞跃的前沿,因此了解他们的观点,特别是他们当前角色的变化,对于安全、最佳的实施至关重要。
我们设计了一项在线调查,包括以下主题:角色变化、AI 在临床中的优先事项、患者获益和教育。该调查通过国家专业机构、临床管理和社交媒体在爱尔兰共和国全国范围内进行。
共有 318 名 DRs 和 77 名 RTTs 参与了调查。开发的优先领域包括质量保证、临床审计、辐射剂量优化以及改善 DR 的工作流程和治疗计划算法优化、临床审计以及 RTT 的后处理。对于 AI 在患者面对角色和最终图像解释方面的使用存在抵触情绪。27.6%的 DRs 和 40.3%的 RTTs目前在临床中使用 AI,46.1%的 DRs 和 41.2%的 RTTs预计 AI 的使用会减少员工数量。64.9%的 DRs 和 70.6%的 RTTs认为 AI 对患者有益,大多数人赞成通过国家立法对 AI 进行监管。86.1%的 DRs 和 94.0%的 RTTs赞成 AI 的实施。
本研究确定了 DRs 和 RTTs 优先考虑的 AI 开发和实施领域。因此,这表明 DRs 和 RTTs 应该参与开发最能支持实践的 AI 工具,并且需要讨论明确的 AI 实施途径,以确保最佳使用和患者安全。
了解 AI 的观点对实践具有重要意义,有助于确保最佳的产品开发、实施和培训,以及规划潜在的 DR 和 RTT 角色变化。