  Kidney cancer is a global health concern, and accurate assessment of patient
frailty is crucial for optimizing surgical outcomes. This paper introduces AI
Age Discrepancy, a novel metric derived from machine learning analysis of
preoperative abdominal CT scans, as a potential indicator of frailty and
postoperative risk in kidney cancer patients. This retrospective study of 599
patients from the 2023 Kidney Tumor Segmentation (KiTS) challenge dataset found
that a higher AI Age Discrepancy is significantly associated with longer
hospital stays and lower overall survival rates, independent of established
factors. This suggests that AI Age Discrepancy may provide valuable insights
into patient frailty and could thus inform clinical decision-making in kidney
cancer treatment.
