Generative artificial intelligence (AI) has brought revolutionary innovations in various fields, including medicine. However, it also exhibits limitations. In response, retrieval-augmented generation (RAG) provides a potential solution, enabling models to generate more accurate contents by leveraging the retrieval of external knowledge. With the rapid advancement of generative AI, RAG can pave the way for connecting this transformative technology with medical applications and is expected to bring innovations in equity, reliability, and personalization to health care.

翻译：生成式人工智能（AI）已在包括医学在内的多个领域带来革命性创新，但其仍存在局限性。为此，检索增强生成（RAG）提供了一种潜在的解决方案，使模型能够通过检索外部知识生成更准确的内容。随着生成式AI的快速发展，RAG有望为这项变革性技术与医学应用的结合铺平道路，并有望在医疗保健的公平性、可靠性和个性化方面带来创新。