Retrieval-Augmented Generation Assistant for Anatomical Pathology Laboratories

Researchers developed a Retrieval-Augmented Generation (RAG) assistant for anatomical pathology laboratories to replace outdated static documentation with dynamic, searchable protocol guidance. The system achieved strong performance using biomedical-specific embeddings and could transform healthcare laboratory workflows by providing technicians with accurate, context-grounded answers to protocol queries.