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Discrepancias entre las recomendaciones del MDT y las decisiones generadas por IA en oncología ginecológica: un
Vasilios Pergialiotis1, Nikolaos Thomakos1, Vasilios Lygizos1
1First Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, National and Kapodistrian University of Athens, 115 27 Athens, Greece.
Cancers
|February 13, 2026
Resumen
La inteligencia artificial (IA) muestra un acuerdo moderado con las recomendaciones del comité multidisciplinario de tumores (MDT) para cánceres ginecológicos. Sin embargo, la IA tiene dificultades con casos complejos, lo que resalta la necesidad de un mayor desarrollo antes de su integración clínica.
Área de la Ciencia:
- Oncología Ginecológica
- Inteligencia Artificial en Medicina
- Soporte de Decisiones Clínicas
Sus antecedentes:
- Los comités multidisciplinarios de tumores (MDT) son cruciales para el manejo del cáncer ginecológico.
- La creciente complejidad en el diagnóstico y las clasificaciones moleculares impulsa el interés en el apoyo a la toma de decisiones mediante IA.
- Es esencial evaluar la concordancia de la IA con las recomendaciones de expertos del MDT.
Objetivo del estudio:
- Evaluar el acuerdo entre la IA (ChatGPT 5.0) y las recomendaciones del MDT para casos de cáncer ginecológico.
- Identificar áreas de concordancia y discordancia en la estadificación y la planificación del tratamiento.
- Evaluar el rendimiento de la IA en diferentes neoplasias ginecológicas.
Principales métodos:
- Análisis retrospectivo de 599 casos consecutivos de cáncer ginecológico.
- Resúmenes de casos estandarizados introducidos en ChatGPT 5.0 siguiendo las directrices de la ESGO.
- Comparación de la estadificación y los planes de tratamiento generados por IA con las decisiones del MDT, con análisis de discrepancias.
Principales resultados:
- La concordancia general para la estadificación FIGO fue del 77,0%; la discordancia en el tratamiento fue menor (quimioterapia 8,2%, terapia dirigida 6,8%).
- La mayor discrepancia en la estadificación se observó en el cáncer de endometrio en etapa temprana (32,6%) debido a la complejidad de la clasificación molecular.
- Las discrepancias en el tratamiento del cáncer de ovario/cuello uterino recurrente sugieren limitaciones de la IA en la integración de datos multimodales y específicos del paciente.
Conclusiones:
- ChatGPT 5.0 demuestra alineación con los MDT en escenarios de cáncer ginecológico más simples.
- La IA no es suficiente en casos complejos que requieren razonamiento contextual, multimodal y específico del paciente.
- Se necesita más investigación sobre la evaluación prospectiva, la integración de datos multimodales y la IA explicable para una adopción clínica segura.
Palabras clave:
ChatGPTinteligencia artificialoncología ginecológicacáncer ginecológicoequipo multidisciplinarioMás Videos Relacionados
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