Qian Li

From quantitative features to imaging signs: agentic AI-driven autonomous discovery in glioblastoma

Abstract The development of semantic imaging signs is time-consuming and relies heavily on clinicians’ experiential knowledge, whereas the abundance of quantitative radiomic features often poses challenges in interpretability and clinical translation. We developed an agentic AI p...