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Evaluación de ChatGPT-4o y OpenEvidence para el apoyo estructural de la enfermedad cardíaca: ideas de las terapias de
Joseph Hajj1, Mohamad Mdaihly1, Joseph Kassab2
1Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio.
Structural heart : the journal of the Heart Team
|September 2, 2025
Resumen
ChatGPT-4o y OpenEvidence fueron evaluados para el apoyo a la toma de decisiones sobre enfermedades cardíacas estructurales. ChatGPT-4o proporcionó información clínica más precisa y confiable, especialmente en entornos rápidos, aunque ninguno reemplaza el juicio profesional.
Área de la Ciencia:
- Cardiología
- La informática médica
- Inteligencia artificial en el cuidado de la salud
Sus antecedentes:
- La adopción creciente de las intervenciones de válvula tricúspide transcatéter (TTVI) como TriClip y EVOQUE.
- Necesidad de herramientas eficaces y fiables de apoyo a la toma de decisiones clínicas en enfermedades cardíacas estructurales.
Objetivo del estudio:
- Evaluar el rendimiento de ChatGPT-4o y OpenEvidence como herramientas de apoyo a la toma de decisiones basadas en IA.
- Comparar su exactitud y fiabilidad clínica en el contexto de TTVI.
Principales métodos:
- Análisis comparativo de ChatGPT-4o y OpenEvidence.
- Evaluación de la precisión de la respuesta y la utilidad clínica para los casos de enfermedad cardíaca estructural.
- Centrarse en las intervenciones de la válvula tricúspide transcatéter.
Principales resultados:
- ChatGPT-4o demostró una precisión y fiabilidad clínicas superiores en comparación con OpenEvidence.
- ChatGPT-4o es particularmente eficaz en entornos clínicos de alta presión y ritmo acelerado.
- Se encontró que ambas plataformas eran complementarias, no sustitutas, para el juicio clínico.
Conclusiones:
- ChatGPT-4o muestra una promesa significativa como herramienta de apoyo a la decisión clínica en cardiología estructural.
- Las herramientas de IA pueden aumentar, pero no sustituir, la experiencia de los profesionales de la salud.
- Se justifica una mayor investigación sobre la integración de la IA en la cardiología intervencionista.
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