In this episode, I speak with Mohammed Baharoon, MMSc candidate in Biomedical Informatics at Harvard Medical School and researcher in the Rajpurkar Lab. We discuss his latest work at the intersection of radiology AI, dataset creation, and AI-powered medical education.

Our conversation focuses on two of his recent projects: ReXGroundingCT, an open-source dataset that links free-text CT reports with pixel-level segmentations to improve grounding and explainability in radiology AI and RadGame, a new interactive, gamified platform designed to enhance radiology education using AI-driven case generation and feedback. We explore how these ideas developed, what challenges he encountered while building them, and how they fit into the broader future of trustworthy and effective medical imaging AI. ...