2024
Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography
Oikonomou E, Holste G, Coppi A, Mcnamara R, Nadkarni G, Krumholz H, Wang Z, Miller E, Khera R. Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography. European Heart Journal 2024, 45: ehae666.157. DOI: 10.1093/eurheartj/ehae666.157.Peer-Reviewed Original ResearchConvolutional neural networkMulti-labelState-of-the-art performanceState-of-the-artCustom loss functionDeep learning modelsAI frameworkNeural networkLoss functionAutomated metricsLearning modelsAugmentation approachVideoAcquisition qualityAdvanced protocolsPoint-of-care ultrasonographyImagesTransthoracic echocardiogramClassifierATTR-CMAlgorithmNetworkAI screeningAcquisitionPresence of severe AS
2019
The China Patient-centred Evaluative Assessment of Cardiac Events (PEACE) prospective heart failure study design
Huang X, Yu Y, Li X, Masoudi FA, Spertus JA, Yan X, Krumholz HM, Jiang L, Li J. The China Patient-centred Evaluative Assessment of Cardiac Events (PEACE) prospective heart failure study design. BMJ Open 2019, 9: e025144. PMID: 30782925, PMCID: PMC6377534, DOI: 10.1136/bmjopen-2018-025144.Peer-Reviewed Original ResearchConceptsPatient-reported outcomesHeart failureChina PatientMedical historyCardiac Events Prospective Heart Failure StudyDisease-specific health statusEthics CommitteeCardiovascular risk factorsProspective cohort studyMin walk testHeart Failure StudyPatient's medical historyLocal ethics committeeQuality of careCollection of bloodHF hospitalisationHospitalisation eventsHospital outcomesCohort studyPatient demographicsTransthoracic echocardiogramWalk testHospital treatmentMedical recordsRisk factors