The Samsung Galeon partnership integrates Samsung ultrasound devices with Galeon’s decentralized EHR to supply anonymized AI training data, enabling hospitals to train on-chain AI algorithms without centralizing patient records while maintaining privacy and traceability.
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Privacy-first integration: anonymized ultrasound data shared for AI training
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Galeon EHR live in 18 interconnected hospitals, enabling federated model training
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On-chain algorithms ensure traceability; data remains off-chain and controlled by institutions
Samsung Galeon partnership integrates ultrasound AI with anonymized EHR data for privacy-first model training—read hospital rollout and implications.
Samsung has partnered with decentralized science protocol Galeon to integrate AI features into its ultrasound devices and supply anonymized AI training data.
Publication: COINOTAG — 2025-09-23. Updated: 2025-09-23
What is the Samsung Galeon partnership?
The Samsung Galeon partnership links Samsung ultrasound hardware with Galeon’s decentralized electronic health record (EHR) platform to provide anonymized imaging data for AI model training while preserving hospital-level data control. The collaboration prioritizes privacy by keeping raw patient data off-chain and running AI algorithms on-chain for traceability.
How does the integration work in hospitals?
Galeon’s EHR is live across 18 interconnected hospitals, including Rouen University Hospital, Caen University Hospital, Toulon Hospital and Sud Francilien Hospital. Each institution retains control of its source data while contributing anonymized model inputs. According to Galeon CEO Loïc Brotons, only the AI algorithm executes on-chain; the underlying data is sanitized and kept off-chain for compliance.
The Galeon Team. Source: Galeon
Why does DeSci matter for healthcare?
Decentralized science (DeSci) aims to make research data and tooling more accessible and collaborative. In healthcare, DeSci platforms are focused on reducing time and cost barriers to innovation, enabling collective research and shared model training without centralizing sensitive patient records.
What evidence shows investor interest in DeSci healthcare?
Recent funding rounds highlight investor focus. Bio Protocol raised $6.9 million with participation from Maelstrom Fund and Animoca Brands. Decentralized groups such as HydraDAO have drawn attention with ambitious research claims. Industry reporting and public announcements (plain text references include Cointelegraph and project releases) show growing capital flow into DeSci projects.
Frequently Asked Questions
Is patient data kept private in this setup?
Yes. Samsung and Galeon state that data is anonymized before use and is not stored on-chain. Only the AI algorithm runs on-chain to provide an auditable trail of model behavior.
Which hospitals are already using Galeon EHR?
Galeon’s EHR is active in 18 hospitals. Publicly named institutions include Rouen University Hospital, Caen University Hospital, Toulon Hospital and Sud Francilien Hospital.
Does this change how hospitals govern patient records?
Hospitals keep governance over their records. The design lets institutions train shared models without centralizing sensitive data, maintaining local control and compliance oversight.
Key Takeaways
- Privacy-first architecture: Data is anonymized and kept off-chain while algorithms run on-chain for traceability.
- Hospital control: Each institution retains data governance while benefiting from collaborative AI training.
- Investor momentum: DeSci healthcare projects are attracting capital, signaling growing interest in decentralized medical research.
Conclusion
The Samsung Galeon partnership demonstrates a practical DeSci application in healthcare by linking ultrasound devices to a decentralized EHR for anonymized AI training. This model prioritizes privacy, institutional control and algorithmic traceability. Watch for wider hospital adoption and continued investor interest as DeSci and medical AI converge.
