MUNICH, Germany – Together with a team of experts from academia, government and industry, Aigora co-founder Christian Ludwigs co-authored a paper on medical image de-identification, published in the Journal of Imaging Informatics in Medicine. It summarises best practices, tools and international approaches for de-identifying medical images used in research and AI development.
Aigora’s contribution offers a European perspective on medical image de-identification and how requirements differ from the US. Unlike HIPAA, the GDPR does not prescribe a specific de-identification method but focuses on minimising the residual risk of re-identification. It also gives a brief insight into practices from Aigora’s own work, combining rule-based and statistical de-identification and expert quality control with technical, organisational and contractual safeguards.
The publication builds on the 2023 virtual workshop on medical image de-identification of the US National Cancer Institute, in which Aigora also participated.
Read the publication in the Journal of Imaging Informatics in Medicine
About Aigora
Aigora is a real-world data partner for life sciences and medtech companies. Through its network of healthcare partner sites across Europe and beyond, Aigora discovers, sources, curates and delivers multimodal, regulatory-grade datasets tailored to specific research and development needs.