2024
Artificial Intelligence in Cardiovascular Clinical Trials
Cunningham J, Abraham W, Bhatt A, Dunn J, Felker G, Jain S, Lindsell C, Mace M, Martyn T, Shah R, Tison G, Fakhouri T, Psotka M, Krumholz H, Fiuzat M, O’Connor C, Solomon S, Collaboratory H. Artificial Intelligence in Cardiovascular Clinical Trials. Journal Of The American College Of Cardiology 2024, 84: 2051-2062. PMID: 39505413, DOI: 10.1016/j.jacc.2024.08.069.Peer-Reviewed Original ResearchConceptsArtificial intelligenceIntegrate AIPatient privacyClinical trialsRandomized clinical trialsClinical event outcomesCardiovascular clinical trialsIntelligenceInaccurate resultsRandomized trialsInterpreting imagesCardiovascular therapyMedical decision makingDecision makingGold standardValidity of trial resultsClinical trial operationsPrivacy
2023
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A, Mortazavi B, Coppi A, Brandt C, Krumholz H, Khera R. Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. Npj Digital Medicine 2023, 6: 124. PMID: 37433874, PMCID: PMC10336107, DOI: 10.1038/s41746-023-00869-w.Peer-Reviewed Original ResearchArtificial intelligenceRandom Gaussian noiseNoisy electrocardiogramGaussian noiseElectrocardiogram (ECGWearable devicesSingle-lead electrocardiogramPortable devicesSNRWearableNoiseDevice noiseRepositoryAI-based screeningIntelligenceDetectionDevicesNoise sourcesVentricular systolic dysfunctionModelElectrocardiogramSingle-lead electrocardiographyTrainingFoundation models for generalist medical artificial intelligence
Moor M, Banerjee O, Abad Z, Krumholz H, Leskovec J, Topol E, Rajpurkar P. Foundation models for generalist medical artificial intelligence. Nature 2023, 616: 259-265. PMID: 37045921, DOI: 10.1038/s41586-023-05881-4.Peer-Reviewed Original ResearchConceptsMedical AILarge medical datasetsMedical artificial intelligenceArtificial intelligence modelsImage annotationMedical datasetsArtificial intelligenceElectronic health recordsAI devicesIntelligence modelsTraining datasetDiverse datasetsExpressive outputHealth recordsRapid developmentDatasetFree-text explanationsMedical modalitiesNew paradigmMedical textsAITechnical capabilitiesDiverse setNewfound capabilitiesCapability
2022
Automated multilabel diagnosis on electrocardiographic images and signals
Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA, Jacoby DL, Schulz WL, Krumholz HM, Ribeiro ALP, Khera R. Automated multilabel diagnosis on electrocardiographic images and signals. Nature Communications 2022, 13: 1583. PMID: 35332137, PMCID: PMC8948243, DOI: 10.1038/s41467-022-29153-3.Peer-Reviewed Original ResearchConceptsConvolutional neural networkArtificial intelligenceApplication of AISignal-based dataSignal-based modelElectrocardiographic imagesECG imagesGrad-CAMImage-based modelsNeural networkDiagnosis modelECG signalsImagesClinical labelsValidation setLabelsExternal validation setMultilabelIntelligenceNetworkApplicationsModelBroad useSetBroader setting
2020
Digitizing clinical trials
Inan OT, Tenaerts P, Prindiville SA, Reynolds HR, Dizon DS, Cooper-Arnold K, Turakhia M, Pletcher MJ, Preston KL, Krumholz HM, Marlin BM, Mandl KD, Klasnja P, Spring B, Iturriaga E, Campo R, Desvigne-Nickens P, Rosenberg Y, Steinhubl SR, Califf RM. Digitizing clinical trials. Npj Digital Medicine 2020, 3: 101. PMID: 32821856, PMCID: PMC7395804, DOI: 10.1038/s41746-020-0302-y.Peer-Reviewed Original ResearchApplication programming interfaceDigital clinical trialsDigital analyticsDigital technologiesNational Science FoundationData science approachData securityProgramming interfaceArtificial intelligenceSuch technologiesDigital transmissionAnalyticsPosition paperMobile healthWearable technologyDigital methodsTechnologyClinical trial systemScience approachScience FoundationTrial systemCurrent stateDigital trialsFundamental toolPrivacy