Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review

This is the authors' abstract. We don't add key points for this paper.

Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrative review, we assess the current evaluation state for clinical summarization tasks and propose future directions to address the resource constraints of expert human evaluation.