Samsung Partners with Galeon for AI-Powered Ultrasound Technology

Tech giant Samsung announced a partnership with blockchain healthcare company Galeon to bring artificial intelligence features to ultrasound machines.

Samsung will connect its ultrasound equipment with Galeon’s electronic health record system. This system already runs in 18 hospitals across Europe, including major medical centers in France like Rouen University Hospital and Caen University Hospital.

The partnership focuses on women’s health imaging first. Doctors will be able to get better ultrasound images and understand them more easily with AI help. The technology aims to make medical diagnoses faster and more accurate.

Unlike traditional AI training that collects all data in one place, this system lets each hospital keep control of its patient information. The hospitals can still benefit from shared AI learning without giving up their data.

Patient privacy remains the top concern in this partnership. All medical data gets anonymized before any AI training happens. This means personal details get removed so patients cannot be identified.

The blockchain system doesn’t store actual patient data. Instead, it only runs the AI algorithm with full tracking of how it operates. Each hospital maintains custody of its own medical records while participating in the AI training process.

This approach follows strict privacy rules that hospitals must follow. Patients can feel confident their personal health information stays protected while still contributing to better medical AI tools.

Galeon has already built several AI tools that work in hospitals today. These include an automatic billing system for medical services and an AI that creates summaries of doctor visits. The company is also developing speech-to-text technology for medical use.

Source: @GaleonCare

These AI tools help doctors spend less time on paperwork and more time with patients. The automatic systems can handle routine tasks while doctors focus on providing care.

The ultrasound partnership represents a major expansion of these AI capabilities. Samsung’s imaging technology combined with Galeon’s AI platform could transform how doctors use ultrasound machines.

The partnership comes as decentralized science projects gain more attention and funding. The entire DeSci sector has a market value of $916 million according to current data, showing strong investor interest in blockchain healthcare solutions.

Other major companies have also invested in similar projects recently. Bio Protocol raised $6.9 million from investors including Animoca Brands earlier in 2025. Binance Labs also invested in the company at the end of 2024.

Healthcare represents one of the most active areas in decentralized science. The high costs and long timelines of medical research drive people to look for new approaches using blockchain and AI technology.

Medical data has become extremely valuable for training AI systems. Companies are competing to access genetic information and health records to build better AI tools for healthcare.

The system uses what experts call “Blockchain Swarm Learning” to keep patient data secure. This technology allows AI models to learn from data across multiple hospitals without ever moving the actual patient information.

Each hospital’s data stays on their own computers. Only the AI algorithm results get shared through the blockchain network. This creates a learning system where all hospitals benefit from each other’s data without privacy risks.

The French hospital network provides a strong foundation for testing this technology. With 18 connected hospitals already using the system, Samsung can deploy its AI-enhanced ultrasound devices to a significant number of medical facilities.

Samsung’s partnership with Galeon marks a significant step forward in combining traditional medical devices with cutting-edge AI and blockchain technology. By keeping patient data private while enabling powerful AI learning, this collaboration could set new standards for how medical technology companies approach healthcare innovation.

The success of this partnership may influence other major device manufacturers to explore similar decentralized approaches to medical AI development.