Radiomics provides quantitative support for the diagnosis, treatment strategy and prognosis evaluation of brain arteriovenous malformation (bAVM) through high-throughput analysis of imaging data, and it also shows significant advantages in clinical symptom prediction, personalized treatment and clinical outcome prediction. Emerging imaging techniques, such as blood oxygen level-dependent cerebrovascular reactivity imaging and ultrasound technology, provide a new perspective for evaluating the hemodynamic changes and epilepsy susceptibility associated with bAVM. In addition, advances in deep learning algorithms in automatic segmentation of bAVM lesions have greatly improved the accuracy and efficiency of segmentation. With the continuous progress of imaging technology, data analysis algorithms and software, radiomics is expected to play a greater role in precision medicine and individualized treatment, bringing better diagnosis and treatment services and better treatment effects for bAVM patients.