Integrating LLMs in Radiology Workflows

Abstract

This study explores the potential of large language models (LLMs) to optimize radiology workflows and address current challenges. Through a literature review and semi-structured interviews with radiologists, the study reveals that while LLMs are a new and largely unfamiliar field in radiology, their potential applications are promising. Radiologists have limited professional experience with LLMs, but they see value in using these models to assist with time-consuming tasks such as summarizing patient histories and preparing structured reports, which could help manage increasing workloads in the future. The study also suggests that the role of radiologists may evolve, with LLMs supporting them as

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