What type of study is this?

This is a Validation Study study.

What question did this study set out to answer?

To explore the trends and potential of large language models in radiology workflows.

December 9, 2025Open Access

Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review.

Key Points

To explore the trends and potential of large language models in radiology workflows.
Conducted a scoping review of literature on large language models in radiology
Analyzed applications in structured reporting, summarization, and educational tasks
Evaluated the consistency of diagnostic performance reported in studies.
Identified strong potential for LLMs to augment radiological workflows
Noted inconsistencies in diagnostic performance across various implementations
Highlighted the absence of robust external validation for current models.

Abstract

LLMs show strong potential for augmenting radiological workflows, particularly for structured reporting, summarization, and educational tasks. However, their diagnostic performance remains inconsistent, and current implementations lack robust external validation. Future work should prioritize prospective, multicenter validation of domain-adapted and multimodal models to support safe clinical integration.

Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review.

Key Points

Abstract

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