2025
Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy
Oikonomou E, Sangha V, Vasisht Shankar S, Coppi A, Krumholz H, Nasir K, Miller E, Gallegos Kattan C, Al-Mallah M, Al-Kindi S, Khera R. Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy. European Heart Journal 2025, ehaf450. PMID: 40679604, DOI: 10.1093/eurheartj/ehaf450.Peer-Reviewed Original ResearchTransthyretin amyloid cardiomyopathyTransthoracic echocardiographyATTR-CMAmyloid cardiomyopathyPreclinical progressAI-ECGRetrospective analysisDiagnosis of transthyretin amyloid cardiomyopathyDeep learning modelsAge/sex matched controlsRetrospective analysis of individualsLearning modelsPreclinical testingElectrocardiography imagingEchocardiographyHouston Methodist HospitalYale New Haven Health SystemAdvanced imagingElectrocardiographyPreclinical coursesCardiomyopathyPreclinical stageA Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model.
Zhou X, Dhingra L, Aminorroaya A, Adejumo P, Khera R. A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2025, 2024: 1332-1339. PMID: 40417570.Peer-Reviewed Original ResearchConceptsCommon data modelElectronic health recordsOMOP Common Data ModelSchema mappingsMapping electronic health recordData modelTransformer-based deep learning modelsNatural language processing approachEnd-to-endDeep learning modelsHealth recordsEnhance interoperabilityTransformation pipelineLearning modelsOMOPProcessing approachSchemaStandard conceptsDiverse healthcare systemsInteroperabilityLarge-scaleStandard mapDatasetSoftwareHealthcare system
2024
Development and multinational validation of an algorithmic strategy for high Lp(a) screening
Aminorroaya A, Dhingra L, Oikonomou E, Saadatagah S, Thangaraj P, Vasisht Shankar S, Spatz E, Khera R. Development and multinational validation of an algorithmic strategy for high Lp(a) screening. Nature Cardiovascular Research 2024, 3: 558-566. PMID: 39195936, PMCID: PMC12190734, DOI: 10.1038/s44161-024-00469-1.Peer-Reviewed Original ResearchElectronic health recordsAssociated with premature atherosclerotic cardiovascular diseaseElevated Lp(aHealth recordsUK BiobankPremature atherosclerotic cardiovascular diseaseMachine learning modelsAtherosclerotic cardiovascular diseaseCohort studyReal-world settingsTargeted screeningCardiovascular diseaseLearning modelsNovel targeted therapeuticsAlgorithmic strategiesCohortProbability thresholdScreeningClinical featuresValidation cohortElevated lipoproteinRisk inspectionARICLp(a
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