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

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...