Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.
Journal:
International journal of medical informatics
Published Date:
Apr 4, 2024
Abstract
OBJECTIVES: This study addresses the critical need for accurate summarization in radiology by comparing various Large Language Model (LLM)-based approaches for automatic summary generation. With the increasing volume of patient information, accurately and concisely conveying radiological findings becomes crucial for effective clinical decision-making. Minor inaccuracies in summaries can lead to significant consequences, highlighting the need for reliable automated summarization tools.