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
2024
Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism
Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.Peer-Reviewed Original ResearchDischarge codesInternational ClassificationICD-10Yale New Haven Health SystemPositive predictive valueMass General Brigham hospitalsAccuracy of ICD-10ICD-10 codesPulmonary embolismHealth systemImage codingElectronic databasesF1 scorePre-specified protocolExcellent positive predictive valueIndependent physiciansHighest F1 scoreIdentification of pulmonary embolismAcute pulmonary embolismSecondary codePE codesScoresIdentified PERevised algorithm
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