Cost-utility analysis of prenatal diagnosis of congenital cardiac diseases using deep learning
Cost-utility analysis of prenatal diagnosis of congenital cardiac diseases using deep learning
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Deep learning (DL) is a new technology that can assist prenatal ultrasound (US) in the detection of congenital heart disease (CHD) at the prenatal stage. Hence, an economic-epidemiologic evaluation (aka Cost-Utility Analysis) is required to assist policymakers in deciding whether to adopt the new technology.
The incremental cost-utility ratios (...
Alternative Titles
Full title
Cost-utility analysis of prenatal diagnosis of congenital cardiac diseases using deep learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4fbfa3cec4f5435593365f3432a203a3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4fbfa3cec4f5435593365f3432a203a3
Other Identifiers
ISSN
1478-7547
E-ISSN
1478-7547
DOI
10.1186/s12962-024-00550-3
