A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support.

ABSTRACT: Imaging utilization has increased dramatically in recent years, and at least some of these studies are not appropriate for the clinical scenario. The development of large language models (LLMs) may address this issue by providing a more accessible reference resource for ordering providers, but their relative performance is currently understudied. Evaluate and compare the relative appropriateness and usefulness of imaging recommendations generated by eight publicly available models in response to neuroradiology clinical scenarios. Twenty-four common neuroradiology clinical scenarios were selected which often yield suboptimal imaging utilization. Questions were crafted to assess the ability of LLMs to provide accurate and actionable advice. The LLMs were assessed in August 2023 using natural

SUBMITTER: Miller L 

PROVIDER: S-EPMC12343430 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature