ReviewNPJ digital medicine2026
Operationalizing the EU AI Act in a comprehensive cancer center through an institutional governance framework.
Review in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
13 authors.
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Abstract
The EU AI Act subjects high-risk clinical AI systems to deployer obligations whose institutional operationalization remains undefined. Drawing on experience at a French comprehensive cancer center, we present a governance framework combining three novel components: a dual-axis model for institutional risk stratification, a five-category AI-related adverse event taxonomy inspired by pharmacovigilance, and structured proficiency testing against simulated AI errors. Successful AI integration depends on institutional readiness, not algorithmic performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.