Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction
Oikonomou E, Sangha V, Dhingra L, Aminorroaya A, Coppi A, Krumholz H, Baldassarre L, Khera R. Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction. European Heart Journal 2024, 45: ehae666.3190. DOI: 10.1093/eurheartj/ehae666.3190.Peer-Reviewed Original ResearchCancer therapeutics-related cardiac dysfunctionImmune checkpoint inhibitorsGlobal longitudinal strainLeft ventricular systolic dysfunctionNon-Hodgkin's lymphomaCardiac dysfunctionAI-ECGNegative control analysesAssociated with higher incidenceVentricular systolic dysfunctionCohort of patientsRisk stratification strategiesCheckpoint inhibitorsTrastuzumab exposureSystolic dysfunctionRisk stratificationBreast cancerRisk biomarkersSecondary outcomesLongitudinal strainStratification strategiesTrastuzumabPatientsHigher incidenceAnthracyclinesArtificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis
Sangha V, Oikonomou E, Krumholz H, Miller E, Khera R. Artificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis. European Heart Journal 2024, 45: ehae666.3436. DOI: 10.1093/eurheartj/ehae666.3436.Peer-Reviewed Original ResearchATTR-CMBone scintigraphy scansTransthyretin amyloid cardiomyopathyPositive predictive valueAI-ECG algorithmCardiac amyloidosisScintigraphy scanAmyloid cardiomyopathyAI-ECGSex-matchedDevelopment cohortMyocardial remodelingUnder-diagnosedUnder-treatedMatched controlsPredictive valueUnder-recognizedTransthyretin stabilizersConvolutional neural networkPatientsECGArtificial intelligenceHospitalPrevalenceTransthyretin