Researchers have introduced the Large Cancer Assistant (LCA), a framework designed to enhance the scalability of clinical decision support in oncology by decoupling data ingestion, clinical routing, and AI inference. The LCA's model-agnostic architecture allows for greater flexibility in integrating multimodal deep learning models, addressing the limitations of traditional monolithic designs. This framework enables the orchestration of various AI models, facilitating more effective clinical decision support. By providing a scalable and adaptable solution, the LCA has the potential to improve cancer treatment outcomes. The development of such a framework carries significant implications for the healthcare industry, particularly in terms of streamlining clinical workflows and improving patient care1. This breakthrough matters to practitioners as it has the potential to revolutionize the way cancer treatment decisions are made, ultimately leading to better patient outcomes.