Retrieval-Augmented Generation

Retrieval-Augmented Generation provides a framework for integrating institutional data and clinical guidelines into large language models to improve the precision of specialized care. Fillmore and his collaborators demonstrated that this approach can enhance cardiotoxicity monitoring and patient treatment planning in cardio-oncology. His work establishes a scalable roadmap for incorporating these AI systems into electronic health records to support clinical decision-making.