This cross-sectional study assesses the accuracy, sensitivity, and specificity of a large language model used to process unstructured, non-English emergency department (ED) data in medical records.
Use of a Large Language Model to Identify and Classify Injuries with Free-Text Emergency Department Data / Lorenzoni, G.; Gregori, D.; Bressan, S.; Ocagli, H.; Azzolina, D.; Da Dalt, L.; Berchialla, P.. - In: JAMA NETWORK OPEN. - ISSN 2574-3805. - 7:5(2024), pp. E2413208-1-E2413208-4. [10.1001/jamanetworkopen.2024.13208]
Use of a Large Language Model to Identify and Classify Injuries with Free-Text Emergency Department Data
Azzolina D.;
2024
Abstract
This cross-sectional study assesses the accuracy, sensitivity, and specificity of a large language model used to process unstructured, non-English emergency department (ED) data in medical records.File in questo prodotto:
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