CT-based multi-task deep learning predicts EGFR mutation status and survival in NSCLC

A multi-task deep learning model using CT images predicted EGFR mutation status in non-small cell lung cancer. Its score was associated with survival in EGFR-treated patients and tumor microenvironment. No performance metrics were reported in the abstract.

• The MTDL score was significantly associated with survival in patients receiving EGFR-targeted treatment.
• The score also correlated with gene expression patterns and tumor microenvironment.

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