grant
A population-based study of deep learning measures of breast arterial calcification for improving women's health using repurposed mammogram images
Organization MAYO CLINIC ROCHESTERLocation ROCHESTER, UNITED STATESPosted 1 Sept 2025Deadline 30 Jun 2029
NIHUS FederalResearch GrantFY20252-dimensional3-D3-D Images3-D image3-Dimensional3D3D image3D imagesAI AugmentedAI algorithmAI assistedAI based methodAI drivenAI enhancedAI integratedAI poweredActive Follow-upAddressAdoptionAffectAfrican American groupAfrican American individualAfrican American peopleAfrican American populationAfrican AmericansAgeAgingAlgorithmsArteriesArticulationArtificial Intelligence enhancedAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBiological MarkersBlackBlack raceBreastBreast Cancer DetectionBreast Cancer Risk FactorBreast cancer screeningBreast screeningCVD preventionCalcifiedCardiovascular DiseasesCaringCaucasian FemalesCaucasian WomenCharacteristicsChronic DiseaseChronic IllnessClinicalClinical DataClinical MarkersClinical ResearchClinical StudyCoronary ArteriosclerosisCoronary Artery DiseaseCoronary Artery DisorderCoronary AtherosclerosisDataDevelopmentDiagnosisDigital Breast TomosynthesisDiseaseDisorderElectronic Health RecordEpidemiologyEquationEventFemale HealthGeographyGoalsGuide preventionHealth CareHealth SciencesHeterogeneityImageIncidenceIndividualInfrastructureInstitutionLifeMammogramMammographic screeningMammographyMeasurementMeasuresMedical centerMethodsMidwestMidwest U.S.Midwest USMidwestern United StatesMississippiMonitorNational Institutes of HealthPatternPerformancePopulationPopulation HeterogeneityPopulation StudyPositionPositioning AttributePredictive ValuePrevalencePreventative health carePreventative strategyPrevention strategyPreventivePreventive health carePreventive strategyProcessQualifyingRadiationRecommendationResearchRiskRisk FactorsRisk ReductionSample SizeSiteSocioeconomic FactorsStandardizationStrategic PlanningThree-Dimensional ImageTimeUnderrepresented GroupsUnderrepresented PopulationsUnited StatesUnited States National Institutes of HealthUniversitiesWhite FemalesWhite WomenWomanWomen's HealthWomen's cohortactive followupagedagesartificial intelligence algorithmartificial intelligence assistedartificial intelligence augmentedartificial intelligence drivenartificial intelligence integratedartificial intelligence methodartificial intelligence poweredatherosclerotic coronary diseasebio-markersbiologic markerbiomarkerbreast cancer riskcalcificationcardiac disease preventioncardiovascular disease preventioncardiovascular disease riskcardiovascular disease therapycardiovascular disordercardiovascular disorder preventioncardiovascular disorder riskcardiovascular disorder therapycardiovascular riskcardiovascular risk factorchronic disorderclinical biomarkersclinically useful biomarkerscohortcohort in womencohort on womencoronary arterial diseasecostdata diversitydeep learningdeep learning methoddeep learning strategydemographicsdevelopmentaldiverse datadiverse populationselectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordenhanced with AIenhanced with Artificial Intelligenceepidemiologicepidemiologicalfemale cohortfollow upfollow-upfollowed upfollowuphealth care serviceheterogeneous populationimagingimaging biomarkerimaging markerimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedindexinginnovateinnovationinnovativelife spanlifespanmalemammary cancer detectionmammary screeningmammographic Imagingmammographic examinationsmammographic examsmammography screeningparitypatient populationpopulation diversitypopulation-based studypopulation-level studypredictive toolspreventpreventingprognosticationreduce riskreduce risksreduce that riskreduce the riskreduce these risksreduces riskreduces the riskreducing riskreducing the riskrisk-reducingscreeningscreeningssexsocio-economicsocio-economic factorssocio-economicallysocioeconomicallysocioeconomicsstudies of populationsstudy of the populationstudy populationthree dimensionaltomosynthesistooltreatment strategytwo-dimensionalunder representation of groupsunder represented groupsunder represented peopleunder represented populationsunderrepresentation of groupsunderrepresented people♂
Description preview
To achieve the goals articulated in the NIH Advancing Science for the Health of Women strategic plan and advance our understanding of the antecedents of chronic disease in women, innovative strategies that leverage longitudinal data in large diverse populations are required. Cardiovascular disease (CVD) is the single largest killer of women.…
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