The Trustworthy & Responsible AI Network (TRAIN), a consortium of healthcare industry leaders with Microsoft as the technology-enabling partner, announced its expansion to Europe.

The expansion aims to help healthcare organisations in the region to operationalise responsible AI through technology-based guardrails.

European TRAIN will include Erasmus MC of the Netherlands, HUS Helsinki University Hospital in Finland, Sahlgrenska University Hospital and Skåne University Hospital in Sweden.

The consortium also includes Universita Vita-Salute San Raffaele in Italy and University Medical Center Utrecht in the Netherlands, along with Foundation 29, and is open for others to join.

Foundation 29 is a nonprofit organisation that aims to transform healthcare through data-driven initiatives and innovative technologies.

Foundation 29 president Sarah Harmon said: “As an NGO dedicated to researching the use of AI in healthcare, Foundation 29 is deeply concerned with ensuring that the use of AI respects patient privacy and security.

“While high-quality data, often sourced from patients, is essential for advancing AI technologies, it is equally crucial to guarantee responsible use of this data.

“For us, safeguarding patient data and fostering a trustworthy environment for AI development and deployment in healthcare is of paramount importance.”

TRAIN was formed in March this year, adding top US healthcare organisations to the network.

The consortium’s operational objectives include providing technology and tools that enable trustworthy and responsible AI principles to be operationalised at scale.

It aims to work in collaboration with other TRAIN members to enable all organisations, including low-resource settings, to benefit from technology-based responsible AI guardrails.

The members will share best practices related to the use of AI, including the safety, reliability and monitoring of AI algorithms, and skills required to manage AI responsibly.

TRAIN will not share data and AI algorithms between members or with third parties and enables registration of AI used for clinical care or operations through a secure online portal.

It will provide tools to measure the outcomes of the AI implementation, including best practices for studying the efficacy and value of AI methods and using privacy-preserving environments.

The consortium also provides tools to perform analyses in subpopulations to assess bias and works towards the development of a federated AI outcomes registry for organisations.

Erasmus Medical Center attending intensivist and Erasmus MC Datahub co-founder Michel van Genderen said: “Transforming healthcare using AI must be seen as a global challenge that requires worldwide cross-border collaborations.

“This approach is an important step that enables us to tackle challenges not only at the national level but also across the EU and globally.

“To truly warrant bedside adoption, we must work together to ensure AI benefits all. Safeguards built into the technology will improve such equity.”