3 Minutes
Samsung and Galeon join forces to advance healthcare AI
Samsung has announced a partnership with decentralized science (DeSci) protocol Galeon to integrate artificial intelligence into its ultrasound imaging devices and supply anonymized training data for medical AI. The collaboration connects Samsung’s ultrasound hardware to Galeon’s electronic health record (EHR) platform, aiming to boost clinical AI development while preserving patient privacy and data sovereignty.
How the integration works
Galeon’s EHR is already live across 18 interconnected hospitals, including several in France: Rouen University Hospital, Caen University Hospital, Toulon Hospital and Sud Francilien Hospital. Rather than storing sensitive medical data onchain, the initiative runs the AI algorithm onchain for complete traceability, while hospital data remains anonymized and under the control of each institution. This hybrid approach balances blockchain auditability with healthcare privacy compliance.
The Galeon Team
Privacy-first AI training for ultrasound devices
Under the agreement, medical providers can use shared AI models trained on decentralized datasets without centralizing patient-level information. Each hospital contributes anonymized ultrasound images and EHR metadata to train models locally or via federated learning processes, enabling continuous model improvement across participating centers. The on-chain component ensures transparent governance and verifiable model updates, addressing concerns around model drift and provenance in healthcare AI.
Real-world AI tools already in development
Galeon CEO Loïc Brotons told reporters that the company has already developed practical healthcare AI tools: an automatic billing AI for medical services, a consultation summary generator, and an in-progress speech-to-text model tailored to clinical workflows. These tools underscore how combining ultrasound imaging data, EHR integration, and blockchain traceability can accelerate healthcare AI adoption while maintaining regulatory and privacy safeguards.
DeSci momentum and investor interest
Decentralized science is rapidly becoming one of the most active segments in blockchain innovation, particularly in healthcare. Projects like VitaDAO are drawing attention for funding longevity research, while DeSci DAOs are pursuing ambitious laboratory outcomes. For example, HydraDAO reported dramatic preclinical results that caught investor eyes, and the broader DeSci movement is prompting venture capital interest.
Recent funding and data priorities
Earlier this year, DeSci platform Bio Protocol closed a $6.9 million funding round backed by Maelstrom Fund and Animoca Brands, following prior investment from Binance Labs. Data acquisition remains a strategic focus for these projects: several DeSci platforms are actively seeking genomic datasets — including assets from defunct consumer services such as 23andMe — to power research and AI model training.
Implications for blockchain, healthcare AI and EHRs
The Samsung–Galeon collaboration highlights a growing convergence of blockchain, decentralized science, and healthcare AI. By combining Samsung’s imaging hardware with Galeon’s EHR and DeSci governance, the partnership provides a model for privacy-preserving AI training that preserves institutional control over patient data while enabling scalable, auditable model development. For clinicians, researchers and crypto investors, this approach signals a pragmatic path for integrating on-chain transparency with real-world medical workflows.
As healthcare organizations and DeSci initiatives continue to explore intersections between blockchain and AI, expect more partnerships focused on secure data sharing, federated learning, and verifiable model governance across hospitals and research institutions.
Source: cointelegraph
Leave a Comment