Enhancing Malignancy Detection and Tumor Classification in Pathology Reports: A Comparative Evaluation of Large Language Models...19th Health Informatics Meets Digital Health Conference (dHealth), May 6-7, 2025, Vienna, Austria.

Background: Cancer registries require accurate and efficient documentation of malignancies, yet current manual methods are time-consuming and error-prone. Objectives: This study evaluates the effectiveness of large language models (LLMs) in classifying malignancies and detecting tumor types from pat...

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Publicado en:	Studies in Health Technology & Informatics Vol. 324; pp. 270 - 276
Autores principales:	NEURURER, Sabrina B., TAHA, Hasan, MUEHLBOECK, Helmut, HICKMANN, Christoph, GSCHEIDLINGER, Patricia, RICHTER, Stefan, DANLER, Martin, HACKL, Werner O., UEBEREGGER, Marko, SCHWEITZER, Marco, PFEIFER, Bernhard
Formato:	proceedings research tables/charts Journal Article
Publicado:	Sage Publications Inc. 2025
Acceso en línea:	Ver este registro en EBSCOhost