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A systematic review of data sources for artificial intelligence applications in pediatric brain tumors in Europe: implications for bias and generalizability
6
Zitationen
10
Autoren
2023
Jahr
Abstract
Since the development of AI tools for pediatric brain tumors is still in its infancy, there is a need to support data exchange and collaboration between centers to increase the number of patients used for algorithm training and improve their generalizability. To this end, there is a need for increased data exchange and collaboration between centers and to explore the applicability of decentralized privacy-preserving technologies consistent with the General Data Protection Regulation (GDPR). This is particularly important in light of using the European Health Data Space and international collaborations.
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