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欧盟医疗器械法规:对医疗物理学中基于人工智能的医疗器械软件的影响。

The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics.

机构信息

Qualix, Vooruitgangstraat 47, 1210 Brussels, Belgium.

Dedalus HealthCare, Roderveldlaan 2, 2600 Antwerp, Belgium.

出版信息

Phys Med. 2021 Mar;83:1-8. doi: 10.1016/j.ejmp.2021.02.011. Epub 2021 Feb 28.

Abstract

Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate their products and to improve patient outcomes. Health institutions are also developing their own algorithms, to address specific needs for which no commercial product exists. Although AI-based algorithms offer good prospects for improving patient outcomes, their wide adoption in clinical practice is still limited. The most significant barriers to the trust required for wider implementation are safety and clinical performance assurance . Qualified medical physicist experts (MPEs) play a key role in safety and performance assessment of such tools, before and during integration in clinical practice. As AI methods drive clinical decision-making, their quality should be assured and tested. Occasionally, an MPE may be also involved in the in-house development of such an AI algorithm. It is therefore important for MPEs to be well informed about the current regulatory framework for Medical Devices. The new European Medical Device Regulation (EU MDR), with date of application set for 26 of May 2021, imposes stringent requirements that need to be met before such tools can be applied in clinical practice. The objective of this paper is to give MPEs perspective on how the EU MDR affects the development of AI-based medical device software. We present our perspective regarding how to implement a regulatory roadmap, from early-stage consideration through design and development, regulatory submission, and post-market surveillance. We have further included an explanation of how to set up a compliant quality management system to ensure reliable and consistent product quality, safety, and performance .

摘要

医疗器械制造商越来越多地将人工智能 (AI) 应用于创新产品,以改善患者的治疗效果。医疗机构也在开发自己的算法,以满足特定的需求,而这些需求在商业产品中是不存在的。虽然基于人工智能的算法为改善患者的治疗效果提供了良好的前景,但它们在临床实践中的广泛应用仍然受到限制。更广泛实施所需的信任的最大障碍是安全性和临床性能保证。合格的医学物理专家(MPE)在将此类工具整合到临床实践之前和期间,在安全性和性能评估方面发挥着关键作用。随着人工智能方法推动临床决策,应确保并测试其质量。偶尔,MPE 也可能参与此类人工智能算法的内部开发。因此,MPE 必须充分了解当前的医疗器械监管框架,这一点非常重要。新的《欧盟医疗器械法规》(EU MDR)将于 2021 年 5 月 26 日生效,该法规提出了严格的要求,此类工具必须满足这些要求,才能在临床实践中应用。本文的目的是让 MPE 了解欧盟医疗器械法规如何影响基于人工智能的医疗器械软件的开发。我们介绍了如何实施监管路线图的观点,从早期考虑到设计和开发、法规提交以及上市后监测。我们进一步解释了如何建立符合法规的质量管理体系,以确保可靠和一致的产品质量、安全性和性能。

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