Featured Publications
Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha V, Nargesi A, Dhingra L, Khunte A, Mortazavi B, Ribeiro A, Banina E, Adeola O, Garg N, Brandt C, Miller E, Ribeiro A, Velazquez E, Giatti L, Barreto S, Foppa M, Yuan N, Ouyang D, Krumholz H, Khera R. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation 2023, 148: 765-777. PMID: 37489538, PMCID: PMC10982757, DOI: 10.1161/circulationaha.122.062646.Peer-Reviewed Original ResearchMeSH KeywordsAdultElectrocardiographyHumansLongitudinal StudiesProspective StudiesVentricular Dysfunction, LeftVentricular Function, LeftConceptsLV systolic dysfunctionYale-New Haven HospitalVentricular systolic dysfunctionSystolic dysfunctionLV ejection fractionBrazilian Longitudinal StudyNew Haven HospitalEjection fractionCardiology clinicRegional hospitalLeft ventricular systolic dysfunctionCedars-Sinai Medical CenterAdult Health (ELSA-Brasil) cohort
2024
AI-enabled diagnosis from an electrocardiogram image: the next frontier of innovation in a century-old technology
Khera R. AI-enabled diagnosis from an electrocardiogram image: the next frontier of innovation in a century-old technology. Heart 2024, 110: heartjnl-2024-324299. PMID: 39048290, PMCID: PMC11328242, DOI: 10.1136/heartjnl-2024-324299.Peer-Reviewed Original Research
2023
Quantitative Prediction of Right Ventricular Size and Function From the ECG
Duong S, Vaid A, My V, Butler L, Lampert J, Pass R, Charney A, Narula J, Khera R, Sakhuja A, Greenspan H, Gelb B, Do R, Nadkarni G. Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal Of The American Heart Association 2023, 13: e031671. PMID: 38156471, PMCID: PMC10863807, DOI: 10.1161/jaha.123.031671.Peer-Reviewed Original Research
2022
Automated multilabel diagnosis on electrocardiographic images and signals
Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA, Jacoby DL, Schulz WL, Krumholz HM, Ribeiro ALP, Khera R. Automated multilabel diagnosis on electrocardiographic images and signals. Nature Communications 2022, 13: 1583. PMID: 35332137, PMCID: PMC8948243, DOI: 10.1038/s41467-022-29153-3.Peer-Reviewed Original ResearchConceptsConvolutional neural networkArtificial intelligenceApplication of AISignal-based dataSignal-based modelElectrocardiographic imagesECG imagesGrad-CAMImage-based modelsNeural networkDiagnosis modelECG signalsImagesClinical labelsValidation setLabelsExternal validation setMultilabelIntelligenceNetworkApplicationsModelBroad useSetBroader setting
2020
Digital Phenotyping of Myocardial Dysfunction With 12-Lead ECG Tiptoeing Into the Future With Machine Learning ∗
Nasir K, Khera R. Digital Phenotyping of Myocardial Dysfunction With 12-Lead ECG Tiptoeing Into the Future With Machine Learning ∗. Journal Of The American College Of Cardiology 2020, 76: 942-944. PMID: 32819468, DOI: 10.1016/j.jacc.2020.07.001.Commentaries, Editorials and LettersConceptsDigital phenotyping
2016
Response to “Higher mortality among males in takotsubo cardiomyopathy”
Khera R, Girotra S. Response to “Higher mortality among males in takotsubo cardiomyopathy”. American Heart Journal 2016, 176: e3. PMID: 27264234, DOI: 10.1016/j.ahj.2016.03.010.Peer-Reviewed Original Research