2025
International Validation of Echocardiographic Artificial Intelligence Amyloid Detection Algorithm
Duffy G, Oikonomou E, Easton N, Usuku H, Patel J, Katsumata Y, Yamasawa D, Stern L, Goto S, Tsujita K, Cheng P, Khera R, Ahmad F, Ouyang D. International Validation of Echocardiographic Artificial Intelligence Amyloid Detection Algorithm. JACC Advances 2025, 102067. PMID: 40965401, DOI: 10.1016/j.jacadv.2025.102067.Peer-Reviewed Original ResearchPositive predictive valueCardiac amyloidosisReceiver operating characteristic curveArea under the receiver operating characteristic curveOperating characteristics curvePredictive valueDiagnosis of cardiac amyloidosisAccurate diagnosisRetrospective case-control studyGlobal longitudinal strainLeft ventricular wall thicknessNegative predictive valueDiagnosis of CACharacteristic curveVentricular wall thicknessBody mass indexParasternal long axisTransthoracic echocardiographic measurementsCase-control studyCA patientsVentricular hypertrophyEchocardiographic measurementsEchocardiogram studyCA subtypesMass indexUso da Inteligência Artificial Aplicada ao Eletrocardiograma para Diagnóstico de Disfunção Sistólica Ventricular Esquerda
de Santana W, Pinto M, Barreto S, Foppa M, Giatti L, Khera R, Ribeiro A. Uso da Inteligência Artificial Aplicada ao Eletrocardiograma para Diagnóstico de Disfunção Sistólica Ventricular Esquerda. Arquivos Brasileiros De Cardiologia 2025, 122: e20240740. PMID: 40396866, PMCID: PMC12108124, DOI: 10.36660/abc.20240740.Peer-Reviewed Original ResearchConceptsLeft ventricular systolic dysfunctionLeft ventricular ejection fractionNegative predictive valueDiagnostic odds ratioPositive predictive valueHeart failureDetect left-ventricular systolic dysfunctionPredictive valueVentricular systolic dysfunctionVentricular ejection fractionNegative likelihood ratioPositive likelihood ratioDiagnostic accuracy cross-sectional studyLikelihood ratioCross-sectional studySystolic dysfunctionEjection fractionEvaluating HFAUC-ROCElectrocardiographic alterationsOdds ratioEchocardiogramROC curveScreening toolElectrocardiogram
2023
Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study
Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.Peer-Reviewed Original ResearchConceptsElectronic health recordsNLP algorithmNatural language processing toolsLanguage processing toolsPrincipal discharge diagnosisICD-10 codesDischarge diagnosisNLP toolsChart reviewHealth systemProcessing toolsYale New Haven Health SystemPatient identificationElectronic databasesHealth recordsData validationHigh-risk PEPulmonary Embolism ResearchSecondary discharge diagnosisIdentification of patientsManual chart reviewNegative predictive valueCodeRadiology reportsAlgorithm
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