Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy

•Computed tomography imaging contains quantifiable information to characterize colorectal liver metastases.•Shape, texture, and intensity statistical features quantified the computed tomography liver volume.•An artificial intelligence model to predict local progression from radiomic features was developed with high accuracy.•Maximum dosage and textural coarseness of liver volume were features with highest predictive value.