Legal and regulatory challenges in multi-country data-driven projects developing and validating medical AI systems in the EU.

Emilia Niemiec, Timo Minssen, Patrick A Boland, Philip D McEntee, Ronan A Cahill
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Abstract

Introduction: Many legal and regulatory requirements need to be considered in projects developing medical AI systems. Their implementation may be challenging as both AI technology and some of the regulations are new.

Areas covered: This article examines the key legal challenges arising from the EU General Data Protection Regulation, Medical Devices Regulations, AI Act, as well as selected intellectual property issues in multi-partner projects developing medical AI systems, using an ongoing clinical validation study of such a device as a real-world exemplar.

Expert opinion: The current regulatory landscape for medical AI system validation in Europe is complex, evolving, and presents some conflicting principles. Key areas that need to be addressed in future soft law instruments include data anonymization and interplay between the Medical Devices Regulation, AI Act, and General Data Protection Regulation. Policymakers should invest in regulatory science to ensure that regulatory frameworks are evidence-based and prioritize patient safety while fostering innovation.

在欧盟开发和验证医疗人工智能系统的多国数据驱动项目中的法律和监管挑战。
导读:在开发医疗人工智能系统的项目中,需要考虑许多法律和监管要求。它们的实施可能具有挑战性,因为人工智能技术和一些法规都是新的。涵盖领域:本文研究了欧盟通用数据保护条例、医疗器械条例、人工智能法案所带来的关键法律挑战,以及在使用正在进行的临床验证研究作为现实世界范例的医疗人工智能系统开发的多合作项目中选定的知识产权问题。专家意见:目前欧洲医疗人工智能系统验证的监管格局复杂且不断发展,并提出了一些相互冲突的原则。在未来的软法律文书中需要解决的关键领域包括数据匿名化以及《医疗器械条例》、《人工智能法案》和《一般数据保护条例》之间的相互作用。决策者应投资于监管科学,以确保监管框架以证据为基础,在促进创新的同时优先考虑患者安全。
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