SOURCE-LINKED INTELLIGENCE
A Multi-Agent Framework for Safe, Specialised, and Adaptive Clinical Reasoning
A Multi-Agent Framework for Safe, Specialised, and Adaptive Clinical Reasoning AIM-SAFE develops a European multi-agent framework for trustworthy Generative AI in clinical decision support, tackling patient safety challenges in polypharmacy management and oncology treatment optimization. Its modular, locally deployed architecture leverages containerised SLM-powered agents that collaborate on bounded clinical functions, such as adverse drug event prediction, deprescribing support, pharmacogenomic reasoning, and phenoconversion modeling, while operating within hospital environments under robust privacy controls, continuous federated learning workflows, and explainable intelligence, fully aligned with European data governance laws (e.g., GDPR, AI Act, EHDS). Beyond model development, AIM-SAFE equips researchers and clinicians with the knowledge, tools, and governance frameworks to apply Generative AI responsibly and effectively in practice. AIM-SAFE delivers open-source toolkits, FAIR datasets, and Safety Co-Pilot modules to advance
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 16665156.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.