Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images: a scoping review protocol.

ABSTRACT:

Introduction

The increasing volume of radiological images and the associated workload of report generation necessitate efficient solutions, making artificial intelligence (AI) a crucial tool to streamline this process for radiologists. Recent years have seen a surge in research exploring AI-driven radiological report generation directly from images, particularly with the emergence of large vision language models. However, a comprehensive understanding of the current landscape, including specific limitations and the extent to which efforts move beyond abnormality detection to full textual report generation, remains unclear. This scoping review aims to systematically map the existing literature to provide an overview of the current state of AI in generating radiological reports from

SUBMITTER: Feng W 

PROVIDER: S-EPMC12496096 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature