Artificial Intelligence algorithms may automatically quantify radiologic characteristics associated with disease response to medical treatments. We investigated a 3-dimensional deep radiomics pipeline to predict disease control to immunotherapy in 42 consecutive patients with metastatic urothelial cancer. The predictive accuracy of the pipeline was 82.5% and increased to 92.5% with the addition of the imaging of other baseline clinical factors.

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