A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study

This study highlights the potential of LLMs as reliable tools for unstructured medical data summarization and evaluation to reduce the dependency on human experts and also states the limitations. The proposed framework, multiagent summarization and auto-evaluation, demonstrates scalability and adaptability for clinical applications while addressing key challenges like hallucination and position bias.