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Large language models leverage external knowledge to extend clinical insight beyond language boundaries.

Jiageng WuXian WuZhaopeng QiuMinghui LiShixu LinYingying ZhangYefeng ZhengChangzheng YuanJie Yang
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
This study shed light on the optimal practices to enhance the capabilities of LLMs in non-English medical scenarios. By synergizing medical knowledge through in-context learning, LLMs can extend clinical insight beyond language barriers in healthcare, significantly reducing language-related disparities of LLM applications and ensuring global benefit in this field.
Keyphrases
  • healthcare
  • autism spectrum disorder
  • primary care
  • health insurance
  • drug induced