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MedTech Summit

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10 - 14 June 2024
DoubleTree by Hilton Brussels CityBrussels, Belgium (Hybrid Event)

Koen Cobbaert
Senior Manager Regulatory Science & Policy at Philips
Speaker

Profile

Koen Cobbaert works part-time for Philips as a quality, regulatory and standards expert. Koen specializes in health software and views tech regulations through the computational lens. He enjoys giving training and lectures and thrives on solving complex regulatory challenges.

In the legislative domain, Koen chairs COCIR’s and DITTA’s software focus groups, representing its members at respectively the European Commission MDCG workgroups on Borderline and Classification, New Technologies and Annex XVI devices and at the international level at the International Medical Device Regulators Forum (IMDRF) workgroup on artificial intelligence. Koen is also an advisor in the SaMD workgroup at the Global Harmonization Working Party (GHWP). Currently Koen is engaged on various proposed EU legislations relating to artificial intelligence and data (AI Act, Machinery Regulation, General Product Safety Directive, Data Act,…). Aside from various publications through trade associations, Koen also edited the book Software as a Medical Device, published through the Regulatory Affairs Professionals Society (RAPS).

In the standardization domain, Koen is delegated as Belgian expert to IEC JTC 1 SC 42 on artificial intelligence, CEN-CENELEC JTC21 on artificial intelligence, ISO TC215 JWG7 on health informatics, and to the IEC SC62A Advisory group on Software, Networks and Artificial Intelligence (SNAIG).

Koen has a Master of Science in electrical engineering and safety risk management. He has over 15 years of hands-on experience establishing regulatory and market-access strategies for medical device software, performing worldwide regulatory submissions, and moderating risk management and clinical evaluation for software applications for general radiology, oncology, neurology, cardiology, orthopaedics, and clinical pathology. He has worked on software applications for pattern recognition, computer-aided detection, reasoning engines, clinical pathways, and other clinical decision support systems, including mobile apps, embedded software, and software operating in the cloud.

Agenda Sessions

  • Compliant Conversations: Large Language Models for Medical Devices

    17:45
  • Ask the Experts – Software and AI for Medical Devices & IVDs

    16:15