Fig. 6.

Risk stratification by the deep learning model and the conventional RECIST criteria. Results were made on the combination of the validation set and the test set. a Risk stratification by the deep learning model RadCLN-D, the high-risk group is defined as a score > 0.66, and the low-risk group is defined as a score ≤ 0.66. b Risk stratification by the RECIST criteria, the high-risk group is defined as disease progression at the first follow-up, and the low-risk is defined as no progression observed at the first follow-up. HR, hazard ratio; RECIST, response evaluation criteria in solid tumors