Cost-effectiveness of atrial fibrillation detection with insertable cardiac monitors in large-artery or small-vessel disease stroke in the United Kingdom
Witte K, Schwamm L, Bernstein R, Reynolds M, Rose D, Lip G, Ozturk E, Villinger J, Rosemas S, Ziegler P, Yaghi S. Cost-effectiveness of atrial fibrillation detection with insertable cardiac monitors in large-artery or small-vessel disease stroke in the United Kingdom. EP Europace 2024, 26: euae102.603. PMCID: PMC11120381, DOI: 10.1093/europace/euae102.603.Peer-Reviewed Original ResearchQuality-adjusted life yearsInsertable cardiac monitorCHA2DS2-VASc scoreContinuous cardiac monitoringStroke eventsAtrial fibrillationCardiac monitoringNational Health Service (NHSBase case incremental cost-effectiveness ratioCHA2DS2-VAScInsertable cardiac monitor implantationDetection of AFHealth-related benefitsRisk of AFUnited KingdomCost-effectiveLarge-arteryRisk of cerebrovascular eventsIschemic strokeWillingness-to-pay thresholdsDetect atrial fibrillationIncremental cost-effectiveness ratioCost-effectiveness analysisProbabilistic sensitivity analysesSmall vessel disease strokeBiometric contrastive learning for data-efficient deep learning from electrocardiographic images
Sangha V, Khunte A, Holste G, Mortazavi B, Wang Z, Oikonomou E, Khera R. Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. Journal Of The American Medical Informatics Association 2024, 31: 855-865. PMID: 38269618, DOI: 10.1093/jamia/ocae002.Peer-Reviewed Original ResearchLabeled training dataContrastive learningECG imagesLabeled dataTraining dataDeep learningProportions of labeled dataArtificial intelligenceSelf-supervised contrastive learningTraditional supervised learningConvolutional neural networkHeld-out test setSupervised learningPretraining strategyBiometric signatureImageNet initializationPretraining approachNeural networkImageNetAI modelsImage objectsTest setLearningDetect atrial fibrillationEquivalent performance
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