A framework for adapting large language models into clinical specialists via knowledge injection

Three knowledge-injection strategies—static embedding, behavioral alignment, dynamic retrieval—combined with multimodal integration can transform large language models into trustworthy clinical AI systems, a review outlines.

• Static embedding, behavioral alignment, and dynamic retrieval are core knowledge-injection strategies.
• Multimodal integration extends large language models beyond text to imaging and other data.
• Combining these strategies is essential for developing safe, effective clinical AI.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.