Video Experimental Relacionado
Updated: Jan 14, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Pruebas y evaluación de modelos grandes de lenguaje generativos en aplicaciones de registros de salud electrónicos:
Xinsong Du1,2,3, Zhengyang Zhou4, Yifei Wang4
1Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, United States.
Los modelos grandes de lenguaje (LLM) generativos muestran potencial en la atención médica, pero requieren una evaluación más amplia en todas las especialidades y tareas. Las métricas actuales carecen de una fuerte correlación con el rendimiento humano, lo que exige marcos estandarizados para una aplicación clínica eficaz.
Más Videos Relacionados
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Videos de Conceptos Relacionados
Methods of Documentation VII: EMR
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Nursing Evaluation
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...