African american nurse using digital tablet for treatment. Black medical assistant looking at screen of device while wearing uniform and stethoscope in doctors office for healthcare.

AI regulations in healthcare: What EU AI Act 2024/1689 means

Opportunities and challenges in applying the EU AI Act 2024/1689 to AI-driven medical technologies

Opportunities and challenges in applying the EU AI Act 2024/1689 to AI-driven medical technologies

If you are developing AI-driven medical devices, you are working on two big challenges, building the technology and getting it approved. In addition to MDR compliance, the EU AI Act 2024/1689 adds an additional layer of regulation, introducing specific requirements around algorithm transparency, human oversight, and risk classification. If you don't consider the regulatory landscape early on, you are running the risk of slowing down your go-to-market timeline, stretching limited resources, and increasing regulatory hiccups.

The overlap of the two regulations creates new questions:

  • What does the EU AI act 2024/1689 state about AI regulations in healthcare?
  • Which AI systems are exempt from the AI Act?
  • What are some prohibited AI practices relevant to medical devices?
  • What are some differences between the AI Act and the MDR?

This white paper addresses these topics in detail and helps you make informed, compliance-ready decisions.

 

Fig. A Examples (includes but not limited to) of individuals in the medical device industry impacted by the AI Act

Examples (includes but not limited to) of individuals in the medical device industry impacted by the AI Act

 

What you'll learn from this white paper

Whether you're developing diagnostic software, predictive analytics tools, or embedded AI in connected devices, this white paper cuts through the complexity. Inside, you'll find:

  • A clear, concise summary of the AI regulations in healthcare
  • A breakdown of how the EU AI Act 2024/1689 aligns or differs from existing frameworks like the MDR
  • An overview of current conformity assessment pathways and how they support a stronger compliance foundation for medical AI systems

 

Download the white paper

Understand and get expert guidance on how the EU AI Act 2024/1689 impacts your AI-powered medical devices.

Download now

 

About the authors

Matthew Kirkman

Matthew Kirkman

Clinical Reviewer, Senior Product Specialist, Clinical Data and Subject Matter Expert, TÜV SÜD

Matthew Kirkman completed his neurosurgery training in London prior to working as a Consultant Adult and Paediatric Neurosurgeon in Nottingham. He subsequently joined TÜV SÜD as a Clinical Reviewer in 2023, before moving to his current role. In addition to his clinical qualifications and experience, Matthew also holds a PhD from University College London, as well as Master's degrees from the University of Oxford and Imperial College London.

Prakash Khunti

Prakash Khunti

Senior Software Assessor, AI, TÜV SÜD

Prakash Khunti focuses on the evaluation of AI-powered medical devices for regulatory compliance under the EU MDR, IVDR, and the AI Act. He has over ten years of experience in software engineering and AI systems, with a background in both technical development and regulatory assessment. Based in Singapore, Prakash collaborates with international teams to support the safe and effective integration of AI technologies within the healthcare sector.

Ulrich Nitsche

Ulrich Nitsche (MD PhD)

Global Director of the Clinical Centre of Excellence for Notified Bodies TÜV SÜD NB0123 and TÜV SÜD NB2443.

Besides his role as Clinical Reviewer, Ulrich Nitsche is an active member of the German Institute for Standardisation (DIN-Normenausschuss), as part of the Working Body for Clinical Investigations. He is also a member of the Specialised Ethics Committee for Special Procedures of the Federal Institute for Drugs and Medical Devices, as well as the Ethics Committee of the Technical University of Munich. He is a trained visceral surgeon and chief emergency doctor.

 

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