Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI-based deep learning features.

A log‐rank test applied on the survival curves of the two cohorts for each model demonstrated no statistically significant difference for the InceptionResNet or the clinical model, an approaching significance ( p = 0.05) for the InceptionResNet + LSTM model, and a significant difference for the InceptionResNet + LSTM model with clinical feature fusion.

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Among different models explored, only the InceptionResNet + LSTM model with clinical feature fusion could stratify the patients into two cohorts with a statistically significant difference in progression‐free survival, with the cohorts identified by the InceptionResNet + LSTM model without any clinical features approached significance.

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