Editorial: Radiomics and AI-driven deep learning for cancer diagnosis and treatment

Abstract

, recurrence, treatment response, and treatment-related risks. Several studies also illustrate a broader shift toward automation, multimodal data fusion, and clinically scalable arti fi cial intelligence (AI) pipelines, including applications to histological images and the integration of histopathology with RNA sequencing (RNA-seq) data.