Newly reported from the NIH: Large Language Model Good for Chest Radiography

Outputs of the large language model (LLM) Vicuna-13B show moderate-to-substantial agreement with existing labelers for 13 findings on chest radiography reports, according to a study published online Oct. 10 in Radiology.

Pritam Mukherjee, Ph.D., from the National Institutes of Health (NIH) Clinical Center in Bethesda, Maryland, and colleagues examined the feasibility of using an alternative LLM, Vicuna-13B, which can be run locally for labeling radiography reports, in a retrospective study that included chest radiography reports from the MIMIC-CXR and NIH data sets. Reports were assessed for 13 findings.

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