On July 10, 2026, JMIR Publications released a feature story by Benedette Cuffari on AI-designed radiopharmaceuticals. The report covers how deep learning and generative AI accelerate drug design and optimize personalized dosimetry to improve patient outcomes. Sofia Michopoulou, PhD, a medical physics expert at University Hospital Southampton, noted that AI-driven simulations can "identify the most promising pharmaceutical candidates earlier, reduce the current volume of preclinical work, and make early-phase evaluation more focused and efficient." AI models also optimize dosimetry using 3D convolutional neural networks to analyze medical images and generate patient-specific digital twins for individualized treatment planning. However, clinical adoption is hindered by a lack of standardized, high-quality datasets to train AI models, and extensive foundational experimental research is still required to ensure models generalize appropriately.