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Leveraging 3D Echocardiograms to Evaluate AI Model Performance in Predicting Cardiac Function on Out-of-Distribution Data

PubMed(2023)10.1142/9789811286421_0004Source: DataRank Database

Leveraging 3D Echocardiograms to Evaluate AI Model Performance in Predicting Cardiac Function on Out-of-Distribution Data is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0.

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Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Kai H. Christensen ORCID,David Ouyang ORCID,Grant Duffy

Live enrichment

PubMed:38160268 PMC:PMC11684417 OpenAlex:https://openalex.org/W4389868771

NHLBI NIH HHS

Grant: R01 HL173526

NHLBI NIH HHS

Grant: R00 HL157421

NHLBI NIH HHS

Grant: K99 HL157421

FWCI

0.00

Citation Percentile

0.3%

goldLicense: cc-by-nc

http://dx.doi.org/10.1142/9789811286421_0004

GOLDhttp://dx.doi.org/10.1142/9789811286421_0004

http://dx.doi.org/10.1142/9789811286421_0004

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38160268

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11684417

Fields of Study

Cardiovascular Function and Risk FactorsCardiovascular Health and Disease PreventionCardiac Imaging and DiagnosticsMedicineComputer ScienceEngineering

MeSH Terms

AlgorithmsArtificial IntelligenceHumansComputational Biology

Keywords

Computer scienceFunction (biology)Data modelingDistribution (mathematics)Data miningMathematicsDatabase