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Forbes Healthcare Summit
2014-12-03    
All Day
Forbes Healthcare Summit: Smart Data Transforming Lives How big will the data get? This year we may collect more data about the human body than [...]
Customer Analytics & Engagement in Health Insurance
2014-12-04 - 2014-12-05    
All Day
Using Data Analytics, Product Experience & Innovation to Build a Profitable Customer-Centric Strategy Takeaway business ROI: Drive business value with customer analytics: learn what every business [...]
mHealth Summit
DECEMBER 7-11, 2014 The mHealth Summit, the largest event of its kind, convenes a diverse international delegation to explore the limits of mobile and connected [...]
The 26th Annual IHI National Forum
Overview ​2014 marks the 26th anniversary of an event that has shaped the course of health care quality in profound, enduring ways — the Annual [...]
Why A Risk Assessment is NOT Enough
2014-12-09    
2:00 pm - 3:30 pm
A common misconception is that  “A risk assessment makes me HIPAA compliant” Sadly this thought can cost your practice more than taking no action at [...]
iHT2 Health IT Summit
2014-12-10 - 2014-12-11    
All Day
Each year, the Institute hosts a series of events & programs which promote improvements in the quality, safety, and efficiency of health care through information technology [...]
Design a premium health insurance plan that engages customers, retains subscribers and understands behaviors
2014-12-16    
11:30 am - 12:30 pm
Wed, Dec 17, 2014 1:00 AM - 2:00 AM IST Join our webinar with John Mills - UPMC, Tim Gilchrist - Columbia University HITLAP, and [...]
Events on 2014-12-03
Forbes Healthcare Summit
3 Dec 14
New York City
Events on 2014-12-04
Events on 2014-12-07
mHealth Summit
7 Dec 14
Washington
Events on 2014-12-09
Events on 2014-12-10
iHT2 Health IT Summit
10 Dec 14
Houston
Latest News

Samsung Teams Up with Galeon to Bring Blockchain AI to Women’s Health Diagnostics

EMR Industry

Samsung Partners with Web3 Startup Galeon to Advance AI-Driven Women’s Health Diagnostics
Samsung has joined forces with Web3 healthcare startup Galeon to integrate AI-enabled ultrasound devices with Galeon’s decentralized electronic medical record (EMR) system, aiming to enhance women’s health diagnostics while safeguarding patient privacy. The collaboration links Samsung’s ultrasound technology with Galeon’s blockchain-based EHR platform, which is currently deployed in 18 European hospitals.

The partnership leverages Galeon’s Blockchain Swarm Learning technology to enable decentralized AI training on anonymized and encrypted datasets, without centralizing sensitive patient records. Only the AI algorithm operations are recorded on the blockchain for traceability, while imaging data remains anonymized and off-chain.

Galeon will provide a dedicated connector for each Samsung ultrasound device installed in hospitals, ensuring secure, seamless data transfer between hardware and software—a critical solution in healthcare, where diagnostic tools often struggle to integrate with patient management systems.

“We are incredibly proud of this partnership and excited to transform the healthcare market together,” said Benjamin Tarter, Head of Women’s Health at Samsung France.

The system is designed to enhance obstetric care by digitally storing ultrasound data directly in patient records, replacing the current practice of delivering results primarily as printed reports and images. This integration enables clinicians to access detailed fetal measurements, morphological observations, and biometrics from previous exams during follow-up appointments.

“Samsung’s device expertise combined with our live EHR and decentralized AI infrastructure delivers what the industry has been missing,” said Loïc Brotons, CEO of Galeon. “Beginning with women’s health, we are linking AI-powered imaging, real-time hospital workflows, and community-governed research to accelerate discoveries while safeguarding patient privacy.”

The partnership also incorporates a research dimension through Galeon’s Atlantis platform and GALEON token, allowing a community of over 100,000 members to vote on medical research funding priorities. This model aims to democratize research funding, aligning it with patient needs rather than solely commercial interests.

By leveraging a decentralized architecture, the collaboration meets the growing demand for AI-supported diagnostics while maintaining strict patient privacy. Hospitals retain full control of their data while benefiting from enhanced diagnostic accuracy and more efficient workflows.