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Extracción de datos clínicos basada en LLM: potenciales y desafíos
Paulina Seidl1, Marton Szep2,3, Sebastian Breden2
1Klinik und Poliklinik für Orthopädie und Sportorthopädie, TUM Universitätsklinikum, Ismaninger Str. 22, 81675, München, Deutschland. paulina.seidl@tum.de.
Los modelos de lenguaje grandes (LLM) pueden extraer información de textos clínicos, reduciendo la carga de trabajo. La calidad de los prompts impacta significativamente la precisión de los LLM para la extracción confiable de datos clínicos.
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