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Artificial intelligence-driven clinical guideline recommendations in maternal care: How trustworthy are they?
0
Zitationen
10
Autoren
2025
Jahr
Abstract
Integrating retrieval-augmented generation into obstetric care has the potential to enhance evidence-based practices and improve patient outcomes. However, rigorous validation of accuracy and context-specific reliability is essential before clinical deployment. The findings of this study indicate that large-scale models (e.g., GPT-3.5, Claude, Llama 70B) consistently outperform lighter models such as Llama 8B.
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