Five major obstacles are holding back RAG systems in healthcare
Retrieval-augmented generation (RAG) promises to help medical AI systems deliver up-to-date and reliable answers. But a new review shows that, so far, RAG rarely works as intended in real-world healthcare settings—and technical, regulatory, and infrastructure hurdles are slowing its adoption.
The article Five major obstacles are holding back RAG systems in healthcare appeared first on THE DECODER.
