A natural language processing algorithm, traumaicdbert, demonstrated superior performance in predicting injury ICD-10 diagnosis codes compared to existing tools. Analyzing over 3000 tertiary survey notes, traumaicdbert outperformed Amazon Web Services Comprehend Medical, showing potential for improved real-time availability of diagnosis codes in clinical settings. Each survey note, on average, had 3.8 extracted injury ICD-10 codes, highlighting the algorithm’s accuracy and potential impact on downstream prediction tools.
Journal Article by Choi J, Chen Y (…) Spain DA et 3 al. in Ann Surg
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