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Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ve...

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ve...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2540515426

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction

About this item

Full title

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction

Publisher

Elsevier Inc

Journal title

Mayo Clinic proceedings, 2021-07, Vol.96 (7), p.1835-1844

Language

English

Formats

Publication information

Publisher

Elsevier Inc

More information

Scope and Contents

Contents

To evaluate the cost-effectiveness of an artificial intelligence electrocardiogram (AI-ECG) algorithm under various clinical and cost scenarios when used for universal screening at age 65.
We used decision analytic modeling to perform a cost-effectiveness analysis of the use of AI-ECG to screen for asymptomatic left ventricular dysfunction (ALVD...

Alternative Titles

Full title

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2540515426

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2540515426

Other Identifiers

ISSN

0025-6196

E-ISSN

1942-5546

DOI

10.1016/j.mayocp.2020.11.032

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