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Updated: Jun 20, 2026

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
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MedSlice: modelos de lenguaje grandes ajustados para la segmentación segura de notas clínicas

Joshua Davis1,2, Thomas Sounack1, Kate Sciacca1,3

  • 1Department of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, United States.

JAMIA open
|January 16, 2026
PubMed
Resumen

Los modelos de lenguaje grandes (LLM) de código abierto muestran potencial para la segmentación automatizada de notas clínicas. Los LLM ajustados pueden superar a los modelos propietarios, ofreciendo beneficios de costo y privacidad para el análisis de datos médicos.

Palabras clave:
inteligencia artificialmetodologías de computaciónregistros de salud electrónicosprocesamiento del lenguaje natural

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