Generating colloquial radiology reports with large language models.

ABSTRACT:

Objectives

Patients are increasingly being given direct access to their medical records. However, radiology reports are written for clinicians and typically contain medical jargon, which can be confusing. One solution is for radiologists to provide a "colloquial" version that is accessible to the layperson. Because manually generating these colloquial translations would represent a significant burden for radiologists, a way to automatically produce accurate, accessible patient-facing reports is desired. We propose a novel method to produce colloquial translations of radiology reports by providing specialized prompts to a large language model (LLM).

Materials and methods

Our method automatically extracts and defines medical terms and includes their definitions in the LLM prom

SUBMITTER: Tang CC 

PROVIDER: S-EPMC11491646 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature