• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能:爱尔兰放射技师和放射治疗师的观点。

Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland.

机构信息

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.

出版信息

Radiography (Lond). 2021 Oct;27 Suppl 1:S74-S82. doi: 10.1016/j.radi.2021.07.022. Epub 2021 Aug 25.

DOI:10.1016/j.radi.2021.07.022
PMID:34454835
Abstract

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

IMPLICATIONS FOR PRACTICE

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.

摘要

简介

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。

方法

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。

结果

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。

结论

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。

对实践的影响

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。

相似文献

1
Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland.人工智能:爱尔兰放射技师和放射治疗师的观点。
Radiography (Lond). 2021 Oct;27 Suppl 1:S74-S82. doi: 10.1016/j.radi.2021.07.022. Epub 2021 Aug 25.
2
Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group.人工智能:放射技师协会人工智能工作组的临床影像和治疗放射学专业人员指南摘要。
Radiography (Lond). 2021 Nov;27(4):1192-1202. doi: 10.1016/j.radi.2021.07.028. Epub 2021 Aug 20.
3
AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers.英国 AI 应用现状:对 AI 治理的认知、面临的挑战与机遇,以及放射技师的前进之路。
Radiography (Lond). 2024 Mar;30(2):612-621. doi: 10.1016/j.radi.2024.01.019. Epub 2024 Feb 7.
4
Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.新加坡放射技师对人工智能的看法和期望——一项定性研究。
J Med Imaging Radiat Sci. 2022 Dec;53(4):554-563. doi: 10.1016/j.jmir.2022.08.005. Epub 2022 Sep 15.
5
Nordic radiographers' and students' perspectives on artificial intelligence - A cross-sectional online survey.北欧放射技师和学生对人工智能的看法 - 一项横断面在线调查。
Radiography (Lond). 2024 May;30(3):776-783. doi: 10.1016/j.radi.2024.02.020. Epub 2024 Mar 9.
6
The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers.人工智能在医学影像实践中的整合:非洲放射技师的观点。
Radiography (Lond). 2021 Aug;27(3):861-866. doi: 10.1016/j.radi.2021.01.008. Epub 2021 Feb 20.
7
Digital skills of therapeutic radiographers/radiation therapists - Document analysis for a European educational curriculum.治疗放射技师/放射治疗师的数字技能 - 欧洲教育课程的文献分析。
Radiography (Lond). 2022 Nov;28(4):955-963. doi: 10.1016/j.radi.2022.06.017. Epub 2022 Jul 14.
8
Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.医学影像学实践中对人工智能的认知、看法和期待:一项全球放射科工作人员调查。
J Med Imaging Radiat Sci. 2023 Mar;54(1):104-116. doi: 10.1016/j.jmir.2022.11.016. Epub 2022 Dec 18.
9
An evaluation of knowledge of circular economy among Therapeutic Radiographers/Radiation Therapists (TR/RTTs): Results of a European survey to inform curriculum design.治疗放射技师/放射治疗师(TR/RTTs)对循环经济知识的评估:为课程设计提供信息的欧洲调查结果。
Radiography (Lond). 2023 Mar;29(2):274-283. doi: 10.1016/j.radi.2022.12.006. Epub 2023 Jan 6.
10
Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice.评估 MRI 技师对人工智能融入实践的接受度和意愿。
Radiography (Lond). 2021 Oct;27 Suppl 1:S83-S87. doi: 10.1016/j.radi.2021.07.007. Epub 2021 Aug 4.

引用本文的文献

1
Patients', clinicians' and developers' perspectives and experiences of artificial intelligence in cardiac healthcare: A qualitative study.患者、临床医生和开发者对人工智能在心脏保健领域的看法与体验:一项定性研究。
Digit Health. 2025 Jun 16;11:20552076251328578. doi: 10.1177/20552076251328578. eCollection 2025 Jan-Dec.
2
Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review.放射学实践中用于诊断的人工智能:一项快速系统的范围综述。
EClinicalMedicine. 2025 May 12;83:103228. doi: 10.1016/j.eclinm.2025.103228. eCollection 2025 May.
3
Radiation therapists' perspectives on artificial intelligence: Insights from a single institution on Improving effectiveness and educational supports.
放射治疗师对人工智能的看法:来自单一机构关于提高有效性和教育支持的见解。
Tech Innov Patient Support Radiat Oncol. 2025 Jan 5;33:100300. doi: 10.1016/j.tipsro.2025.100300. eCollection 2025 Mar.
4
Australian perspectives on artificial intelligence in medical imaging.澳大利亚人对医学影像人工智能的看法。
J Med Radiat Sci. 2022 Sep;69(3):282-292. doi: 10.1002/jmrs.581. Epub 2022 Apr 15.
5
Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.美在观察者的人工智能之中:我们是否准备好将人工智能临床整合到放射成像中?对英国放射技师的人工智能知识、技能、信心和教育观点的探索性分析。
Front Digit Health. 2021 Nov 11;3:739327. doi: 10.3389/fdgth.2021.739327. eCollection 2021.
6
Saudi Radiology Personnel's Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study.沙特放射科人员对人工智能实施的认知:一项横断面研究。
J Multidiscip Healthc. 2021 Nov 23;14:3225-3231. doi: 10.2147/JMDH.S340786. eCollection 2021.