HealthSage AI launches first Open Source Generative AI Platform

HealthSage AIThe European start-up HealthSage AI announces the launch of its Open Source Generative AI Platform fully dedicated to healthcare: a trusted and transparent foundation for the development of AI applications for healthcare.

The first release of HealthSage AI's Large Language Model, Note-to-FHIR, transforms clinical notes and other types of unstructured text into a structured FHIR output. It is now available in beta for the medical and open source community to review and extend prior to the impending launch of the first commercial version.

To use Generative AI in healthcare, it needs to be safe, secure and responsible. That is why HealthSage AI has chosen an open source approach, inviting anyone to review, customize and contribute to its code - creating a vibrant community of health AI innovators and users.

The HealthSage AI platform offers a safe and trusted environment to build and share Healthcare AI solutions. The HealthSage AI platform will host HealthSage AI's Large Language Model (LLM) as well as other models, tools and applications. These will be crafted by HealthSage AI as well as contributed by the broader community. The flexibility to use multiple models, tools and applications prevents vendor lock-in, and offers continuous access to state-of-the-art technology.

The first release of HealthSage AI's Large Language Model, Note-to-FHIR, transforms clinical notes and other types of unstructured text into a structured FHIR output: an international standard for the electronic exchange of healthcare information between different systems and applications. Now for the first time in history, unstructured clinical data can be analyzed automatically, with unprecedented speed and state-of-the-art accuracy.

In keeping with its Always Open and collaborative approach, HealthSage AI has now released a beta version of Note-to-FHIR, to enable the healthcare and open source community to review and extend this solution prior to the impending launch of the first commercial version.

HealthSage AI's core values are to be Always Open, Always Responsible, and Always Safe. This means embracing the open source principles, being dedicated to excellence and integrity, and ensuring the HealthSage AI LLMs are trained and trusted by the healthcare community.

For further information, please visit:
https://healthsage.ai

About HealthSage AI

HealthSage AI was founded by Harm-Jan Wessels and Marcel Alberti: two experienced entrepreneurs who know what it takes to create solutions that make a genuine impact in healthcare. At HealthSage AI, they have built a talented team with decades of invaluable experience in healthcare IT. Driven by creativity, curiosity and innovation, they plan to shape the future of healthcare.

Most Popular Now

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...