AI assistance reduced interpretation time by 48 seconds per examination while increasing clinician confidence scores.

The models were developed using linear and nonlinear algorithms, predicting survival, nonlocal failure, radiation-induced liver disease, and lymphopenia from baseline patient and treatment parameters.