2025
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
Oikonomou E, Vaid A, Holste G, Coppi A, McNamara R, Baloescu C, Krumholz H, Wang Z, Apakama D, Nadkarni G, Khera R. Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study. The Lancet Digital Health 2025, 7: e113-e123. PMID: 39890242, DOI: 10.1016/s2589-7500(24)00249-8.Peer-Reviewed Original ResearchConceptsYale New Haven Health SystemPoint-of-care ultrasonographyMount Sinai Health SystemTransthyretin amyloid cardiomyopathyArtificial intelligenceHealth systemAmyloid cardiomyopathyHypertrophic cardiomyopathyRetrospective cohort of individualsCardiomyopathy casesTesting artificial intelligenceConvolutional neural networkSinai Health SystemCohort of individualsOpportunistic screeningHypertrophic cardiomyopathy casesMulti-labelPositive screenAI frameworkEmergency departmentMortality riskNeural networkLoss functionCardiac ultrasonographyAugmentation approach
2024
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports
Vaid A, Duong S, Lampert J, Kovatch P, Freeman R, Argulian E, Croft L, Lerakis S, Goldman M, Khera R, Nadkarni G. Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal Of The American Medical Informatics Association 2024, 31: 2097-2102. PMID: 38687616, PMCID: PMC11339495, DOI: 10.1093/jamia/ocae085.Peer-Reviewed Original ResearchLanguage modelEchocardiogram reportsGround-truth answersText similarity measuresMount Sinai Health SystemQuestion-answer pairsEnhancing clinical decision-makingSinai Health SystemIntervention identificationClinical decision-makingHealth systemPatient careComplex patient dataRelevant snippetsSimilarity measureComplex cardiac diseaseGround truth
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