Retrieval-Augmented Generation-Based Optimization of Local Large Language Models in Radiology (IMAGE)
Caption
Retrieval-augmented generation (RAG)-enhanced language models can match or even surpass the performance of leading cloud-based systems. These models eliminated hallucinations, delivered the fastest response times, improved clinical accuracy, and increased safety in high-stakes radiology consultations. By combining high performance with strict data privacy, RAG-enhanced models offer a safe, reliable, and efficient solution for real-time clinical decision support.
Credit
Associate Professor Akihiko Wada from Juntendo University Graduate School of Medicine, Japan
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