Daniel K. Ting

Jan 25, 2025 | nature.com | Rui Yang |Yilin Ning |Mingxuan Liu |Chuan Hong |Danielle S Bitterman |Daniel K. Ting | +3 more

Generative artificial intelligence has brought disruptive innovations in health care but faces certain challenges. Retrieval-augmented generation (RAG) enables models to generate more reliable content by leveraging the retrieval of external knowledge. In this perspective, we analyze the possible contributions that RAG could bring to health care in equity, reliability, and personalization. Additionally, we discuss the current limitations and challenges of implementing RAG in medical scenarios.