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Synapse
March 29, 20260 citationsOpen Access

Secondary Use of Health Data for Training Generative AI Models Risks and Interplay between the EHDS and the AI Act

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GLGiovana Lopes

Key Points

  • This research aims to investigate the risks of secondary health data use for training generative AI models and its regulatory implications.
  • Presented at the EHDS 2026 Conference
  • Reviewed relevant literature on health data uses
  • Analyzed regulatory frameworks including the EHDS and AI Act
  • Identified significant risks associated with secondary use of health data.
  • Outlined challenges in aligning EHDS regulations with the AI Act.
  • Highlighted potential ethical and privacy concerns in AI model training.

Abstract

This peer-reviewed abstract, presented at the EHDS 2026 Conference, explores the risks associated with the secondary use of health data for training generative AI models and examines the regulatory interplay between the European Health Data Space (EHDS) and the AI Act.

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Cite This Study

Giovana Lopes (2026) studied this question.

synapsesocial.com/papers/69c8c35cde0f0f753b39e25fhttps://doi.org/10.5281/zenodo.19251524
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Synthetic data in medical imaging within the EHDS: a path forward for ethics, regulation, and standards2025 · 11 citations
  2. 2Collaboration in Healthcare: Implications of Data Sharing for Secondary Use in the European Union2024 · 4 citations
  3. 3Artificial intelligence based data curation: enabling a patient-centric European health data space2024 · 12 citations
  4. 4Genetic Data Sharing in the European Health Data Space: An Urgent Call for Coordinated Action by the Member States2026
  5. 5Operationalising ethics in the EHDS: Tools, principles, and governance mechanisms2026