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103 Creation of an image-based electrocardiogram dataset to facilitate real-world artificial intelli...

103 Creation of an image-based electrocardiogram dataset to facilitate real-world artificial intelli...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2821985984

103 Creation of an image-based electrocardiogram dataset to facilitate real-world artificial intelligence-enhanced electrocardiogram analysis

About this item

Full title

103 Creation of an image-based electrocardiogram dataset to facilitate real-world artificial intelligence-enhanced electrocardiogram analysis

Publisher

London: BMJ Publishing Group Ltd and British Cardiovascular Society

Journal title

Heart (British Cardiac Society), 2023-06, Vol.109 (Suppl 3), p.A114-A116

Language

English

Formats

Publication information

Publisher

London: BMJ Publishing Group Ltd and British Cardiovascular Society

More information

Scope and Contents

Contents

BackgroundArtificial intelligence-enhanced electrocardiogram (AI-ECG) analysis offers the potential to improve care for patients with cardiovascular disease. Most of the algorithms developed to date are limited by their reliance on digital ECG signals, yet paper-based or image-based ECGs remain pervasive within numerous healthcare settings. Therefo...

Alternative Titles

Full title

103 Creation of an image-based electrocardiogram dataset to facilitate real-world artificial intelligence-enhanced electrocardiogram analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2821985984

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2821985984

Other Identifiers

ISSN

1355-6037

E-ISSN

1468-201X

DOI

10.1136/heartjnl-2023-BCS.103

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