Researchers have developed a web-based platform that combines raw data from MR-guided radiotherapy with a deep-learning processing pipeline to provide structured clinical interpretations. The platform's retrieval-augmented generation interpretation module was evaluated by medical experts who rated its reports highly for soundness, citation quality, and overall utility. The study suggests that such platforms can integrate post-processing with expert-evaluated clinical interpretation in radiation oncology. --- Why it matters: This matters to researchers in AI because it demonstrates the potential of integrated diffusion-weighted imaging processing and interpretation platforms in improving treatment outcomes in radiotherapy. The platform's use of deep-learning techniques and retrieval-augmented generation highlights the importance of reliable quantitative processing and traceable clinical interpretations in medical decision-making. Source: https://arxiv.org/abs/2608.20519