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Updated: Jan 20, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Un modelo de aprendizaje profundo basado en TC para predecir la supervivencia libre de recurrencia local en el

Yaru Ren1, Ziyang Xue2, Ting Liang3

  • 1Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi An, Shaanxi, China.

Frontiers in medicine
|January 19, 2026
PubMed
Resumen

Un modelo de aprendizaje profundo (DL) que utiliza TC predice con precisión la supervivencia libre de recurrencia local (LRFS) en pacientes con sarcoma retroperitoneal (RPS). Esta herramienta de IA ayuda en la estratificación del riesgo y en las estrategias de tratamiento personalizadas para el RPS.

Palabras clave:
aprendizaje profundorecurrencia localpredicción de pronósticoradiómicasarcoma retroperitoneal

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