Arya Aminorroaya, MD, MPH
Hospital ResidentAbout
Research
Publications
2026
Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification
Dhingra L, Croon P, Batinica B, Aminorroaya A, Pedroso A, Khera R. Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification. Current Heart Failure Reports 2026, 23: 10. PMID: 41838300, DOI: 10.1007/s11897-026-00748-x.Peer-Reviewed Original ResearchRisk factor surveillancePublic health challengeHeart failure screeningHF risk assessmentHF screeningRoutine careCommunity programsHF riskHealth challengesECG testRisk scoreECG interpretationRisk stratificationConfirmatory imagingSymptom onsetRiskCost-effectiveClinical implementationProspective validationScreeningTherapy decisionsFunctional abnormalitiesCareRisk assessmentCohortArtificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT
Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A, Coppi A, Shankar S, Rockers E, Mortazavi B, Bhatt D, Krumholz H, Al-Kindi S, Nadkarni G, Vaid A, Khera R. Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT. European Heart Journal - Digital Health 2026, 7: ztag031. PMID: 41853639, PMCID: PMC12993923, DOI: 10.1093/ehjdh/ztag031.Peer-Reviewed Original ResearchBundle branch blockEncoder-decoder modelBranch blockFascicular blockUS health systemClinical assessmentLeft anterior fascicular blockRight bundle branch blockLeft posterior fascicular blockAssessment of electrocardiogramsLeft bundle branch blockAnterior fascicular blockPosterior fascicular blockPremature atrial contractionsPremature ventricular contractionsHealth systemPTB-XL datasetLow-resource settingsAtrioventricular blockConduction abnormalitiesSinus bradycardiaAtrial contractionSinus tachycardiaAtrial fibrillationDiagnosis statementsA real-world evaluation of longitudinal healthcare expenses in a health system registry of type-2 diabetes mellitus and cardiovascular disease enabled by the 21st century cures act
Dhingra L, Pedroso A, Aminorroaya A, Rajpura J, Mehanna S, Tonnu-Mihara I, Khera R. A real-world evaluation of longitudinal healthcare expenses in a health system registry of type-2 diabetes mellitus and cardiovascular disease enabled by the 21st century cures act. American Journal Of Preventive Cardiology 2026, 25: 101425. PMID: 41767452, PMCID: PMC12946900, DOI: 10.1016/j.ajpc.2026.101425.Peer-Reviewed Original ResearchFinancial hardshipHealthcare expensesObservational cohort studyHealthcare eventsHealthcare spendingPrevalence of financial hardshipAtherosclerotic cardiovascular diseaseYale New Haven Health SystemDiverse cohortDiverse cohort of individualsReal world evaluationCardiovascular diseaseMedian household incomeUS Census dataCohort study of patientsMultivariate logistic regressionCohort of individualsHealthcare visitsRegular careObservational cohort study of patientsHealth systemT2D diagnosisType 2 diabetes mellitusOutpatient networkResidential zipMachine learning to predict elevated lipoprotein(a)
Aminorroaya A, Khera R. Machine learning to predict elevated lipoprotein(a). Current Opinion In Lipidology 2026, 37: 58-64. PMID: 41631372, DOI: 10.1097/mol.0000000000001024.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseasePopulation-based settingLifelong risk factorLp(a)Cardiovascular risk assessmentUK BiobankHealth systemGuideline supportIdentification of individualsDemographic subgroupsUS cohortCase findingRoutine cardiovascular risk assessmentTesting recommendationsRisk factorsCardiovascular diseaseClinical practiceOne-time testingClinical variablesSystematic identificationLearning-based strategyIndividualsBiobankMachine learning-based strategyHealthTARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record
Oikonomou E, Batinica B, Dhingra L, Aminorroaya A, Coppi A, Khera R. TARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record. NEJM AI 2026, 3 DOI: 10.1056/aioa2500588.Peer-Reviewed Original ResearchFollow-Up Assessment of Adherence to Methodological Standards in National Inpatient Sample Research
Dhingra L, Pedroso A, Aminorroaya A, Caraballo C, Mahajan S, Bansal B, Krumholz H, Khera R. Follow-Up Assessment of Adherence to Methodological Standards in National Inpatient Sample Research. JAMA Network Open 2026, 9: e2555753. PMID: 41591780, PMCID: PMC12848622, DOI: 10.1001/jamanetworkopen.2025.55753.Peer-Reviewed Original ResearchArtificial Intelligence Electrocardiogram Risk Tool—Reply
Dhingra L, Aminorroaya A, Khera R. Artificial Intelligence Electrocardiogram Risk Tool—Reply. JAMA Cardiology 2026, 11: 109-109. PMID: 41259010, DOI: 10.1001/jamacardio.2025.4246.Peer-Reviewed Original Research
2025
Evaluating the Accessibility of Transcatheter and Surgical Aortic Valve Replacement Across the US Via Driving-Times
Kapadia S, Shen M, Hanna J, Wheelock K, Pedroso A, Vora A, Dhingra L, Aminorroaya A, Khera R. Evaluating the Accessibility of Transcatheter and Surgical Aortic Valve Replacement Across the US Via Driving-Times. The American Journal Of Cardiology 2025, 262: 61-67. PMID: 41475454, DOI: 10.1016/j.amjcard.2025.12.007.Peer-Reviewed Original ResearchConceptsSurgical aortic valve replacementTranscatheter aortic valve replacementAortic valve replacementTranscatheter aortic valve replacement centersValve replacementMinimally invasive alternativeMedian ageMedian driving timeInvasive alternativeTAVR centersZip codesDisadvantaged rural communitiesHighest proportionSociodemographic correlatesProportion of beneficiariesTranscatheterMixed-effects modelsLinear mixed-effects modelsRural communitiesMultinational assessment of traditional and AI-electrocardiography based risk prediction for heart failure in prospective cohort studies
Pedroso A, Dhingra L, Aminorroaya A, Figueiredo R, Brant L, Barreto S, Ribeiro A, Khera R. Multinational assessment of traditional and AI-electrocardiography based risk prediction for heart failure in prospective cohort studies. European Heart Journal 2025, 46 DOI: 10.1093/eurheartj/ehaf784.1053.Peer-Reviewed Original ResearchELSA-BrasilPCP-HFProspective cohort studyStructural heart disordersHF riskTraditional risk scoresRisk scoreCommunity-based prospective cohort studyHF eventsRisk predictionCohort studyHazard ratioHF risk predictionHF risk stratificationCox proportional survival analysisHigh-income populationsMiddle-income populationsHF risk scoreAggressive risk reductionReclassification of riskClinical decision-makingUK BiobankRisk stratificationIncident HFRisk tertilesHigh-dimensional phenotypic matching with artificial intelligence-enhanced ECG to replicate heart failure trial outcomes in real-world data
Biswas D, Dhingra L, Aminorroaya A, Croon P, Oikonomou E, Khera R. High-dimensional phenotypic matching with artificial intelligence-enhanced ECG to replicate heart failure trial outcomes in real-world data. European Heart Journal 2025, 46 DOI: 10.1093/eurheartj/ehaf784.4614.Peer-Reviewed Original ResearchReal-world dataHigh-dimensional representationsAngiotensin receptor-neprilysin inhibitorRandomized-controlled trialsAngiotensin-converting-enzyme inhibitorsCardiovascular risk factorsHazard ratioMatching of individualsPragmatic RCT designK-means clusteringDigital twinRisk factorsUnstructured dataEmbedding spacesSubgroup analysisHeart failureTreatment effectsRobust causal inferenceHealthcare interventionsAbstract BackgroundLeft ventricular ejection fractionRCT designTraditional survival analysis techniquesCausal treatment effectsComputational framework
Academic Achievements & Community Involvement
News & Links
News
- March 16, 2026
Yale School of Medicine Faculty To Present New Cardiovascular Research at National Cardiology Conference
- February 11, 2026
Using AI to Guide AI
- December 12, 2025
Resident Roundup: Arya Aminorroaya, MD, MPH
- May 20, 2025Source: Endocrinology Advisor
High Blood Pressure Education Month: Targeting Lp(a)