Evaluating large language models in medical applications: a survey

Understand

Large language models (LLMs) have emerged as powerful tools with transformative potential across numerous domains, including healthcare and medicine.

• In the medical domain, LLMs hold promise for tasks ranging from clinical decision support to patient education.
• However, evaluating the performance of LLMs in medical contexts presents unique challenges due to the complex and critical nature of medical information.
• This paper provides a comprehensive overview of the landscape of medical LLM evaluation, synthesizing insights from existing studies and highlighting evaluation data sources, task scenarios, and evaluation methods.