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This research aims to investigate the risks of secondary health data use for training generative AI models and its regulatory implications.

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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Giovana Lopes (2026) studied this question.

synapsesocial.com/papers/69c8c35cde0f0f753b39e25f https://doi.org/https://doi.org/10.5281/zenodo.19251524

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

Key Points

Abstract

Cite This Study

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