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Updated: Jan 7, 2026

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Modelo de aprendizaje automático interpretable multimodal basado en radiómica espacial mejora la predicción de

Liang Jiang1, Yi Zhou2, Qiang Xu2

  • 1Departments of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China; Postdoctoral Research Station, Nanjing Medical University, Nanjing, China.

Journal of advanced research
|December 30, 2025
PubMed
Resumen

Un nuevo modelo de radiómica espacial predice con precisión los resultados desfavorables en pacientes con accidentes cerebrovasculares menores mediante el análisis de la conectividad de las lesiones. Este enfoque de aprendizaje automático interpretable mejora los métodos convencionales para un mejor manejo clínico.

Palabras clave:
Imágenes ponderadas por difusiónAprendizaje automáticoAccidente cerebrovascular menorResultadosRadiómica

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