Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis.

ABSTRACT:

Objectives

This systematic review and meta-analysis aimed to assess the stroke detection performance of artificial intelligence (AI) in magnetic resonance imaging (MRI), and additionally to identify reporting insufficiencies.

Methods

PRISMA guidelines were followed. MEDLINE, Embase, Cochrane Central, and IEEE Xplore were searched for studies utilising MRI and AI for stroke detection. The protocol was prospectively registered with PROSPERO (CRD42021289748). Sensitivity, specificity, accuracy, and area under the receiver operating characteristic (ROC) curve were the primary outcomes. Only studies using MRI in adults were included. The intervention was AI for stroke detection with ischaemic and haemorrhagic stroke in separate categories. Any manual labelling was used as a compa

SUBMITTER: Bojsen JA 

PROVIDER: S-EPMC11196541 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature