Large Language Models in Medicine

Large language models are becoming powerful assistants for medical education, literature review, documentation, and knowledge organization. They can summarize research papers, draft structured notes, explain complex topics, and help researchers generate hypotheses or search strategies.

In clinical settings, LLMs should be used with caution. They may produce confident but incorrect answers, miss context, or fail to cite reliable sources unless specifically designed and validated for medical use. Their best role is as an assistant that helps organize information while clinicians retain final responsibility.

The future of medical LLMs will likely involve retrieval-augmented systems connected to trusted medical sources, hospital-approved knowledge bases, privacy-preserving infrastructure, and specialty-specific validation.