AMSTERDAM — June 17, 2024 — Monday, at HLTH Europe, the Reliable & Accountable AI Community (TRAIN), a consortium of healthcare leaders, introduced its growth to Europe with the target to assist organizations within the area operationalize accountable AI by technology-based guardrails. Organizations which have come collectively to type the European TRAIN embody Erasmus MC (the Netherlands), HUS Helsinki College Hospital (Finland), Sahlgrenska College Hospital (Sweden), Skåne College Hospital (Sweden), Universita Vita-Salute San Raffaele (Italy), and College Medical Heart Utrecht (the Netherlands), with Microsoft because the know-how enabling companion. Basis 29, a nonprofit group that goals to empower sufferers and remodel healthcare by data-driven initiatives and modern applied sciences, has additionally joined European TRAIN. The community is open to different healthcare organizations in Europe taken with becoming a member of.
Rising AI applied sciences maintain important promise for revolutionizing the healthcare sector in Europe and throughout the globe. By enhancing affected person care outcomes, streamlining processes and decreasing prices, AI has the potential to rework the trade. Because the know-how continues to evolve, strong improvement and analysis requirements are essential to make sure accountable and efficient AI functions. TRAIN goals to enhance the standard, security and trustworthiness of AI instruments carried out in healthcare to assist guarantee clinicians and sufferers profit from this modern know-how.
TRAIN’s preliminary formation, introduced in March 2024, launched main healthcare organizations within the U.S. as a part of the community. The consortium’s operational targets embody:
- Offering know-how and instruments that allow reliable and accountable AI ideas to be operationalized at scale.
- Working in collaboration with different TRAIN members and key stakeholders to allow all organizations, together with low-resource settings, to learn from technology-based accountable AI guardrails.
- Sharing greatest practices associated to using AI in healthcare settings, together with the protection, reliability and monitoring of AI algorithms, and the skillsets required to handle AI responsibly. Knowledge and AI algorithms won’t be shared between member organizations or with third events.
- Working towards enabling registration of AI used for scientific care or scientific operations by a safe on-line portal.
- Offering instruments to allow measurement of outcomes related to the implementation of AI, together with greatest practices for finding out the efficacy and worth of AI strategies in healthcare settings and leveraging of privacy-preserving environments, with concerns in each pre- and post-deployment settings. Instruments that permit analyses to be carried out in subpopulations to evaluate bias may be offered.
- Working towards the event of a federated AI outcomes registry for organizations to share amongst themselves. The registry will seize real-world outcomes associated to efficacy, security and optimization of AI algorithms.
For extra info on European TRAIN, be part of us at HLTH Europe on Tuesday, June 18, from 12:30 to 12:40 p.m. CEST at The Discussion board stage (H90), the place we’ll share extra particulars concerning the community and its targets.
TRAIN member quotes:
“Remodeling healthcare utilizing AI have to be seen as a worldwide problem that requires worldwide cross-border collaborations. This strategy is a crucial step that allows us to sort out challenges not solely on the nationwide degree, but in addition throughout the EU and globally. To actually warrant bedside adoption, we should work collectively to make sure AI advantages all. Safeguards constructed into the know-how will enhance such fairness.” — Dr. Michel van Genderen, attending intensivist at Erasmus Medical Heart and co-founder of the Erasmus MC Datahub
“As an NGO devoted to researching using AI in healthcare, Basis 29 is deeply involved with making certain that using AI respects affected person privateness and safety. Whereas high-quality knowledge, typically sourced from sufferers, is crucial for advancing AI applied sciences, it’s equally essential to ensure accountable use of this knowledge. For us, safeguarding affected person knowledge and fostering a reliable setting for AI improvement and deployment in healthcare is of paramount significance.” — Sarah Harmon, president, Basis 29
“AI has the potential to rework healthcare, however we should stay vigilant about its moral implications. In TRAIN, we’re becoming a member of forces throughout Europe to share information and instruments for profitable and sustainable implementation of reliable and accountable AI into healthcare practices.” — Magnus Kjellberg, head of AI Competence Heart, Sahlgrenska College Hospital
“TRAIN is a job mannequin for joint efforts between the know-how trade and healthcare. AI represents a method that provides hope for future healthcare effectiveness. The upcoming European TRAIN effort might be a chance to take a elementary step ahead to operationalize accountable AI options by facilitating the era and validation of algorithms with affected person integrity left intact.” — Professor Stefan Jovings, M.D., Ph.D., president of analysis and schooling, Skane College Hospital, Sweden
“TRAIN’s deal with accountable AI ideas and privacy-preserving collaboration enforces our methods to soundly and ethically leverage AI applied sciences. This initiative builds belief, protects affected person knowledge, and aligns the taking part establishments’ practices to the European healthcare requirements.” — Carlo Tacchetti, professor and coordinator, AI strategic program of UniSR and director of Experimental Imaging Heart, San Raffaele Scientific Institute
“AI in healthcare wants collaborations on a nationwide and a global degree to assist us use AI’s energy for enhancing affected person care and outcomes. We’re excited to be a part of this collaboration to contribute to the brand new period of drugs that awaits us.” — Ben Collignon, chief info officer, UMC Utrecht
“The first aim for TRAIN is to allow people and organizations to operationalize accountable AI ideas by technology-based guardrails. TRAIN can even allow organizations to collaborate by federated, privacy-preserving approaches. The formation of TRAIN in Europe will assist foster belief and confidence within the utility of AI in well being and be certain that knowledge privateness is maintained.” — David Rhew, M.D., chief medical officer and vp of healthcare, Microsoft
In regards to the Reliable & Accountable AI Community (TRAIN)
The Reliable & Accountable AI Community (TRAIN) is among the first well being AI networks aimed toward operationalizing accountable AI ideas. By collaboration, TRAIN members will assist enhance the standard, security, and trustworthiness of AI in well being by sharing greatest practices, enabling registration of AI used for scientific care or scientific operations, offering instruments to allow measurement of outcomes related to the implementation of AI, and facilitating the event of a federated AI outcomes registry for organizations to share amongst themselves.
For extra info, press solely:
Microsoft Media Relations, WE Communications for Microsoft, (425) 638-7777,
