Development and validation of a deep transfer learning-based multivariable survival model to predict overall survival in lung cancer

Abstract

The model outperformed the traditional Cox model, was robust with missing data and provided the AI certainty of prediction. It can be used for patient self-evaluation and risk stratification in clinical trials. Researchers can fine-tune the pre-trained model and integrate their own database to explore other prognostic factors.