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Relations (1)
related 2.00 — strongly supporting 3 facts
The concepts are linked as core components of a research study, where the [concept] 'hallucination rate' is a primary metric evaluated within the [concept] 'clinical safety evaluation framework' as described in [1]. This relationship is further supported by the study's focus on both elements [2] and their joint inclusion in the title of the published research article [3].
Facts (3)
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A framework to assess clinical safety and hallucination rates of LLMs ... nature.com 3 facts
claimD.P., E.A., M.D., N.M., S.K., and J.B. contributed to the concept, design, and execution of the study regarding clinical safety and hallucination rates of LLMs.
referenceThe article titled 'A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation' was published in the journal npj Digital Medicine (volume 8, article 274) in 2025, authored by E. Asgari, N. Montaña-Brown, M. Dubois, and others.
claimThe authors propose a framework for assessing clinical safety and hallucination rates in large language models (LLMs) that includes an error taxonomy for classifying outputs, an experimental structure for iterative comparisons in document generation pipelines, a clinical safety framework to evaluate error harms, and a graphical user interface named CREOLA.