Radiomics and Artificial Intelligence: Renal Cell Carcinoma

Abstract

There is a clinical need for accurate diagnosis and prognostication of kidney cancer using imaging. Radiomics and deep learning methods applied to imaging have shown promise in tasks such as tumor segmentation, classification, staging, and grading, as well as assessment of preoperative scores and correlation with tumor biomarkers. Artificial intelligence is also expected to play a significant role in advancing personalized medicine for the treatment of renal cell carcinoma.

Keywords: Artificial intelligence; Deep learning; Imaging; Kidney; Radiomics; Renal carcinoma.