2025
Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges
Biswas D, Aminorroaya A, Croon P, Batinica B, Pedroso A, Khera R. Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges. Current Atherosclerosis Reports 2025, 27: 86. PMID: 40888973, DOI: 10.1007/s11883-025-01337-4.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseasePopulation health screeningPopulation-level screeningCardiovascular diseaseLow riskHealth screeningStandard risk factorsHospital-basedCardiovascular healthSubclinical coronary artery diseaseWorkflow integrationSingle-lead ECGPersonalized interventionsPatient outcomesDiverse populationsTraditional risk modelsECG interpretationRisk factorsAscertainment biasImplementation challengesAdverse cardiovascular eventsProspective studyLogistical challengesRe-classifying patientsCoronary artery diseaseTowards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention
Hurley N, Desai N, Dhruva S, Khera R, Schulz W, Huang C, Curtis J, Masoudi F, Rumsfeld J, Negahban S, Krumholz H, Mortazavi B. Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention. PLOS Digital Health 2025, 4: e0000906. PMID: 40560847, PMCID: PMC12193038, DOI: 10.1371/journal.pdig.0000906.Peer-Reviewed Original ResearchNational Cardiovascular Data RegistryPercutaneous coronary interventionPrescription of medicationsRisk predictionArea under the receiver operating characteristic curveRisk prediction modelTreatment decision makingIndividualized carePatient dischargeData registryRisk estimatesRisk modelPrimary outcomeIndex admissionRisk informationModerate riskCoronary interventionPercutaneous coronary intervention proceduresRisk factorsPatient characteristicsIn-hospital bleeding eventsHigh riskLow riskMedical historyRegistry
2024
Artificial Intelligence–Enhanced Risk Stratification of Cancer Therapeutics–Related Cardiac Dysfunction Using Electrocardiographic Images
Oikonomou E, Sangha V, Dhingra L, Aminorroaya A, Coppi A, Krumholz H, Baldassarre L, Khera R. Artificial Intelligence–Enhanced Risk Stratification of Cancer Therapeutics–Related Cardiac Dysfunction Using Electrocardiographic Images. Circulation Cardiovascular Quality And Outcomes 2024, 18: e011504. PMID: 39221857, PMCID: PMC11745701, DOI: 10.1161/circoutcomes.124.011504.Peer-Reviewed Original ResearchCancer therapeutics-related cardiac dysfunctionGlobal longitudinal strainLeft ventricular systolic dysfunctionCardiac dysfunctionBreast cancerNon-Hodgkin lymphoma therapyNon-Hodgkin's lymphomaVentricular systolic dysfunctionAssociated with worse global longitudinal strainRisk stratification strategiesHigh-risk groupMonths post-treatmentPost Hoc AnalysisElectrocardiographic (ECGTrastuzumab exposureLymphoma therapySystolic dysfunctionAI-ECGBefore treatmentRisk biomarkersLongitudinal strainLow riskStratification strategiesHigher incidencePositive screen
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