[Regulatory classification of AI-enabled products for medical use on the basis of the EU AI Act and MDR/IVDR].

IF 1.7 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Steffen Luckner, Wolfgang Lauer
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引用次数: 0

Abstract

The use of artificial intelligence (AI) in healthcare offers great potential but also presents regulatory challenges. The EU Artificial Intelligence Act (AIA), the Medical Device Regulation (MDR), and the Regulation on in vitro diagnostic medical devices (IVDR) establish the framework for the safe and ethical use of AI-based medical devices in Europe.When assessing the regulatory classification of AI software or products with AI components, it must be determined-based on the intended purpose defined by the manufacturer and the classification criteria of the MDR or IVDR-whether the product qualifies as a medical device. If so, all relevant regulations of the AIA apply in addition to those of the MDR/IVDR.Both the MDR/IVDR and the AIA assign products to different risk classes based on their respective risk potential, defining specific requirements accordingly. However, the classification criteria and implications differ between the regulatory frameworks. As a result, even medical devices in the lower MDR/IVDR risk category with involvement of a notified body are considered high-risk products under the AIA. It is therefore crucial to differentiate precisely between the respective regulations.The harmonization of regulatory requirements remains a challenge, particularly because classification under the AIA and MDR/IVDR is based on different criteria despite some similar terminology. Open questions persist, especially regarding lowest-risk medical devices and self-learning AI systems. Further development of regulatory guidelines is necessary to ensure the safe and efficient integration of innovative AI applications into healthcare. The German Federal Ministry of Health (BMG) and the Federal Institute for Drugs and Medical Devices (BfArM) are actively working at both national and European levels to develop pragmatic solutions.

[基于欧盟人工智能法案和MDR/IVDR对医疗用人工智能产品的监管分类]。
在医疗保健中使用人工智能(AI)提供了巨大的潜力,但也带来了监管挑战。欧盟人工智能法案(AIA)、医疗器械法规(MDR)和体外诊断医疗器械法规(IVDR)为欧洲基于人工智能的医疗器械的安全和道德使用建立了框架。在评估人工智能软件或具有人工智能组件的产品的监管分类时,必须根据制造商定义的预期用途和MDR或ivdr的分类标准来确定产品是否符合医疗器械的资格。如果是这样,则除MDR/IVDR的规定外,还适用AIA的所有相关规定。MDR/IVDR和AIA都根据各自的风险潜力将产品划分为不同的风险类别,并相应地定义具体的要求。然而,不同监管框架的分类标准和含义不同。因此,即使是有公告机构参与的MDR/IVDR风险较低类别的医疗器械,在AIA下也被视为高风险产品。因此,准确区分各自的规定是至关重要的。监管要求的协调仍然是一个挑战,特别是因为AIA和MDR/IVDR的分类基于不同的标准,尽管有一些相似的术语。悬而未决的问题仍然存在,特别是在风险最低的医疗设备和自我学习的人工智能系统方面。有必要进一步制定监管准则,以确保将创新的人工智能应用安全有效地整合到医疗保健中。德国联邦卫生部(BMG)和联邦药品和医疗器械研究所(BfArM)正在国家和欧洲两级积极开展工作,以制定务实的解决方案。
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来源期刊
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
5.90%
发文量
145
审稿时长
3-8 weeks
期刊介绍: Die Monatszeitschrift Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz - umfasst alle Fragestellungen und Bereiche, mit denen sich das öffentliche Gesundheitswesen und die staatliche Gesundheitspolitik auseinandersetzen. Ziel ist es, zum einen über wesentliche Entwicklungen in der biologisch-medizinischen Grundlagenforschung auf dem Laufenden zu halten und zum anderen über konkrete Maßnahmen zum Gesundheitsschutz, über Konzepte der Prävention, Risikoabwehr und Gesundheitsförderung zu informieren. Wichtige Themengebiete sind die Epidemiologie übertragbarer und nicht übertragbarer Krankheiten, der umweltbezogene Gesundheitsschutz sowie gesundheitsökonomische, medizinethische und -rechtliche Fragestellungen.
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