Performance of ChatGPT on prehospital acute ischemic stroke and large vessel occlusion (LVO) stroke screening.

ABSTRACT:

Background

The management of acute ischemic stroke (AIS) is time-sensitive, yet prehospital delays remain prevalent. The application of large language models (LLMs) for medical text analysis may play a potential role in clinical decision support. We assess the performance of LLMs on prehospital AIS and large vessel occlusion (LVO) stroke screening.

Methods

This retrospective study sourced cases from the electronic medical record database of the emergency department (ED) at Maoming People's Hospital, encompassing patients who presented to the ED between June and November 2023. We evaluate the diagnostic accuracy of GPT-3.5 and GPT-4 for the detection of AIS and LVO stroke by comparing the sensitivity, specificity, accuracy, positive predictive value, negative predictive value

SUBMITTER: Wang X 

PROVIDER: S-EPMC11539183 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature