Samsung partners with Galeon to bring on-chain AI to ultrasound
Samsung teamed up with decentralized science protocol Galeon to integrate blockchain-based AI training into its ultrasound devices, aiming to improve healthcare data sharing while protecting patient privacy.
Throughout the collaboration, the South Korean hardware company will link Samsung's ultrasound equipment with Galeon's electronic health record system, already used in 18 hospitals in France. The newly-forged Samsung partnership allows anonymized medical data to train AI models without centralizing patient records.
Galeon CEO Loïc Brotons said the data itself will not be stored on-chain. Instead, only the AI algorithm operates on-chain, ensuring traceability of how it learns. Patient data is anonymized before use, and each hospital retains full control over its records while benefiting from shared AI development.
The electronic health record (EHR) network, devised by Galeon, includes Rouen University Hospital, Caen University Hospital, Toulon Hospital, and Sud Francilien Hospital. Through Samsung's integration, ultrasound devices will directly contribute anonymized datasets to train algorithms for medical applications.
The blockchain-based system allows multiple hospitals to collaborate on AI development without sharing sensitive patient information. This structure ensures data sovereignty while still enabling collective algorithm improvements.
Galeon CEO Loïc Brotons said the data itself will not be stored on-chain. Instead, only the AI algorithm operates on-chain, ensuring traceability of how it learns. Patient data is anonymized before use, and each hospital retains full control over its records while benefiting from shared AI development.
The electronic health record (EHR) network, devised by Galeon, includes Rouen University Hospital, Caen University Hospital, Toulon Hospital, and Sud Francilien Hospital. Through Samsung's integration, ultrasound devices will directly contribute anonymized datasets to train algorithms for medical applications.
The blockchain-based system allows multiple hospitals to collaborate on AI development without sharing sensitive patient information. This structure ensures data sovereignty while still enabling collective algorithm improvements.
Brotons noted that Galeon has developed AI tools, including automatic billing systems and consultation summarizers. The company is working on medical speech-to-text models. Galeon views blockchain as essential for verifying how algorithms operate in healthcare contexts.
Samsung's ultrasound devices will feed anonymized scan data into the training system. The AI models learn from patterns across multiple hospitals while maintaining patient privacy through the decentralized architecture.
The partnership represents Samsung's entry into blockchain-based healthcare solutions. The company has not disclosed which specific ultrasound device models will integrate with Galeon's system or implementation timelines.
Galeon operates as a decentralized science protocol focused on healthcare data management. The platform enables medical institutions to collaborate on AI research while maintaining data sovereignty and patient privacy.
The collaboration targets improved diagnostic accuracy through AI models trained on larger, more diverse datasets from multiple healthcare institutions. Samsung plans to expand the partnership beyond ultrasound devices to other medical equipment.
Healthcare has become a focus area for decentralized science initiatives that emphasize transparent, collaborative AI development while protecting sensitive medical information.
Samsung's ultrasound devices will feed anonymized scan data into the training system. The AI models learn from patterns across multiple hospitals while maintaining patient privacy through the decentralized architecture.
The partnership represents Samsung's entry into blockchain-based healthcare solutions. The company has not disclosed which specific ultrasound device models will integrate with Galeon's system or implementation timelines.
Galeon operates as a decentralized science protocol focused on healthcare data management. The platform enables medical institutions to collaborate on AI research while maintaining data sovereignty and patient privacy.
The collaboration targets improved diagnostic accuracy through AI models trained on larger, more diverse datasets from multiple healthcare institutions. Samsung plans to expand the partnership beyond ultrasound devices to other medical equipment.
Healthcare has become a focus area for decentralized science initiatives that emphasize transparent, collaborative AI development while protecting sensitive medical information.
Author
Sebile Fane cut her teeth in blockchain by building tiny NFT experiments with friends in her living room, long before the buzzwords took hold. She’s driven by a curiosity for the human stories behind smart contracts — whether it’s a small-town artist minting her first token or a DAO voting on climate grants — and weaves technical insight with genuine empathy.
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