Accurate prediction of the expression of Ki-67 marker in hepatocellular carcinoma based on AI radiomic model

Abstract

Ki-67 is an important tumor marker. Therefore, the development of Ki-67 based model for predicting the prognosis of hepatocellular carcinoma (HCC) is crucial for successful management of HCC patients in the clinic. With rapid advance in artificial intelligence, machine learning models have been developed recently to incorporate the features of radiomics, tumor surrounding areas, and clinical factors to accurately predict Ki-67 expression in HCC. These breakthroughs provide novel insight into the development of machine learning model based on Ki-67 to guide personalized treatment for HCC patients. In conclusion, the combination of radiomics, genomics, histological data, and demographic information will enhance the accuracy and precision of predictive models for cancer patients.