Chapter 11 - Role of artificial intelligence and radiomics in diagnosing renal tumors: a survey

Abstract

Several articles have discussed the growing role of artificial intelligence (AI), machine learning (ML), and radiomics in the evaluation and management of renal tumors; yet, no critical analysis has been made to date. This chapter reviews the recent diagnostic applications of AI and ML in renal tumor. AI is used for the differentiation of benign from malignant renal tumors, differentiation of renal cell carcinoma from angiomyolipoma, oncocytoma, and renal cyst. Several studies have discussed the role of AI in subtyping, grading, and staging of renal cell carcinoma as well as in the characterization of small renal mass. In addition, it is used for Fuhrman nuclear grade prediction and gene expression-based molecular signatures of renal cell carcinoma. The continuous incorporation of clinical data, further ML, texture analysis, and ML algorithm retraining, and generalizability of models will augment the prediction accuracy and enhance individualized medicine. © 2023 Elsevier Inc. All rights reserved.

Keywords Artificial intelligence, machine learning, renal cell carcinoma, renal masses,texture analysis