Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol.

ABSTRACT:

Introduction

Stroke is a time-critical condition and one of the leading causes of mortality and disability worldwide. To decrease mortality and improve patient outcome by improving access to optimal treatment, there is an emerging need to improve the accuracy of the methods used to identify and characterise stroke in prehospital settings and emergency departments (EDs). This might be accomplished by developing computerised decision support systems (CDSSs) that are based on artificial intelligence (AI) and potential new data sources such as vital signs, biomarkers and image and video analysis. This scoping review aims to summarise literature on existing methods for early characterisation of stroke by using AI.

Methods and analysis

The review will be performed with respect to

SUBMITTER: Jalo H 

PROVIDER: S-EPMC10230929 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature