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
2006
Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction
Bradley EH, Herrin J, Wang Y, Barton BA, Webster TR, Mattera JA, Roumanis SA, Curtis JP, Nallamothu BK, Magid DJ, McNamara RL, Parkosewich J, Loeb JM, Krumholz HM. Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction. New England Journal Of Medicine 2006, 355: 2308-2320. PMID: 17101617, DOI: 10.1056/nejmsa063117.Peer-Reviewed Original ResearchConceptsST-segment elevationBalloon timeCatheterization laboratoryMyocardial infarctionFaster doorEmergency departmentPrimary percutaneous coronary interventionHospital strategiesIntracoronary balloon inflationPercutaneous coronary interventionAcute myocardial infarctionMinority of hospitalsEmergency medicine physiciansReperfusion treatmentCoronary interventionBalloon inflationMedicine physiciansMultivariate analysisHospitalInfarctionPatientsMedicaid ServicesSignificant reductionReal-time data feedbackData feedback