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Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f72c51d39c3f487c88617570f464663f

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

About this item

Full title

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2024-01, Vol.24 (1), p.19-15, Article 19

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

In clinical medicine, fetal heart rate (FHR) monitoring using cardiotocography (CTG) is one of the most commonly used methods for assessing fetal acidosis. However, as the visual interpretation of CTG depends on the subjective judgment of the clinician, this has led to high inter-observer and intra-observer variability, making it necessary to intro...

Alternative Titles

Full title

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f72c51d39c3f487c88617570f464663f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f72c51d39c3f487c88617570f464663f

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-024-02423-4

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