CORDIS Project
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The THUNDER project seeks to establish a framework for trustworthy generative artificial intelligence in healthcare. It aims to develop standardized evaluation metrics and advanced models to enhance the utility and trustworthiness of synthetic healthcare data, particularly targeting sepsis as a critical health issue.
Machine learning (ML) offers transformative opportunities for healthcare, with applications ranging from precision medicine to operational optimization.
However, progress is constrained by limited access to diverse, high-quality datasets, exacerbated by fragmentation, data scarcity, and stringent privacy regulations.
Traditional data augmentation methods fail to fully capture the complexity and heterogeneity of healthcare data.
Generative AI, particularly large language models (LLMs), offers a p…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
United Kingdom, Edinburgh
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, La Coruna
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
United Kingdom, Guildford
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
UNIVERZITA TOMASE BATI VE ZLINE
Czechia, Zlin
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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