Diagnostic accuracy of the PMcardio smartphone application for artificial intelligence-based interpretation of electrocardiograms in primary care (AMSTELHEART-1).

ABSTRACT:

Background

The use of 12-lead electrocardiogram (ECG) is common in routine primary care, however it can be difficult for less experienced ECG readers to adequately interpret the ECG.

Objective

To validate a smartphone application (PMcardio) as a stand-alone interpretation tool for 12-lead ECG in primary care.

Methods

We recruited consecutive patients who underwent 12-lead ECG as part of routinely indicated primary care in the Netherlands. All ECGs were assessed by the PMcardio app, which analyzes a photographed image of 12-lead ECG for automated interpretation, installed on an Android platform (Samsung Galaxy M31) and an iOS platform (iPhone SE2020). We validated the PMcardio app for detecting any major ECG abnormality (MEA, primary outcome), defined as atrial fibrill

SUBMITTER: Himmelreich JCL 

PROVIDER: S-EPMC10282008 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature