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...
| Publicado en: | Studies in Health Technology & Informatics Vol. 324; pp. 270 - 276 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |