Editorial for "MRI-Based Deep Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma"

Abstract

Since Roentgen's first discovery of the X beam, medical imaging has evolved beyond dreams. By increasing the integration of artificial intelligence technologies in recent years, radiology imaging has brought the opportunity to evaluate quantitative imaging parameters in clinical examinations and research. Radiomics refers to the extraction of a large number of quantitative features from medical images using data characterization algorithms. Radiomic analysis, as a novel method, has marked potential to display the features of the tumor microenvironment via deep-learning algorithms, and accordingly provides better diagnosis and assists in the personalized therapeutic approach.