grant

The Development of Clinically-Motivated and Explainable Machine-Learning-Based Image Classifiers to Detect Trachoma

Organization UNIVERSITY OF VERMONT & ST AGRIC COLLEGELocation BURLINGTON, UNITED STATESPosted 1 Feb 2025Deadline 31 Jan 2030
NIHUS FederalResearch GrantFY20260-11 years oldAI AugmentedAI algorithmAI analysisAI assistedAI basedAI based methodAI drivenAI enhancedAI integratedAI model trainingAI poweredAI systemAI trainingAccuracy of DiagnosisAddressAndroidAndroid AppAndroid ApplicationAntibiotic TherapyAntibiotic TreatmentAreaArtificial IntelligenceArtificial Intelligence enhancedArtificial intelligence model trainingAtrophicAtrophyAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBlack BoxBlindnessCell PhoneCell Phone ApplicationCell phone AppCellular PhoneCellular Phone AppCellular Phone ApplicationCellular TelephoneCertificationChildChild YouthChildren (0-21)Chronic DiseaseChronic IllnessCicatrixClassificationClinicalClinical SkillsCommunitiesComputer ModelsComputer ReasoningComputerized ModelsConvNetDataData CollectionData SetDecision MakingDiagnosisDiseaseDisease ManagementDisorderDisorder ManagementDropsEducational workshopEnsureEthiopiaEyelid structureEyelidsFutureGenerationsGlareGoalsGroups at riskHealthHybridsImageImage AnalysesImage AnalysisIndividualInflammationInfluentialsInfrastructureInternationalInterpretable MLInterpretable machine learningKnowledgeMachine IntelligenceMachine LearningManualsMethodsMobile PhonesModelingModernizationMonitorOphthalmologyOutcomePalpebraPathologyPatternPeople at riskPerformancePersonsPersons at riskPhenotypePhotographyPopulations at RiskPrevalencePrevalence StudyPrimary CareProceduresProcessPublic HealthPublishingReadingResearchRiskScarsSiteSmart Phone AppSmart Phone ApplicationSmartphone AppStandardizationSurvey InstrumentSurvey MethodSurvey MethodologySurveysSystemSystematicsTarsal plateTestingTimeTrachomaTrainingTransmissionValidationVisualWorkWorkshopWorld Health Organizationanalysis with AIanalysis with artificial intelligenceanalyzed via AIanalyzed via artificial intelligenceapp on a smartphoneapplication on a smartphoneartificial intelligence algorithmartificial intelligence analysisartificial intelligence assistedartificial intelligence augmentedartificial intelligence basedartificial intelligence drivenartificial intelligence integratedartificial intelligence methodartificial intelligence poweredartificial intelligence trainingbacterial disease treatmentbacterial infectious disease treatmentcell phone based appchronic disordercicatrix cornealclinical developmentcommunicable disease transmissioncomputational modelingcomputational modelscomputer based modelscomputerized modelingconvolutional networkconvolutional neural netsconvolutional neural networkcorneal fibrosiscorneal scardetection methoddetection proceduredetection techniquediagnostic accuracydisease transmissionenhanced with AIenhanced with Artificial Intelligenceexplainable MLexplainable machine learningeye imagingfield based datafield learningfield studyfield surveyfield testiOS appiOS applicationiPhoneiPhone AppiPhone Applicationimage classification algorithmimage classification approachimage classification methodimage classification modelimage classification toolimage classifierimage evaluationimage interpretationimage-based classifierimagingimprovedinfectious disease transmissioninnovateinnovationinnovativeinsightkidslow income countrym-HealthmHealthmachine based learningmachine learning based modelmachine learning modelmobile healthmobile phone appmulti-modalitymultimodalitynew approachesnext generationnovelnovel approachesnovel strategiesnovel strategyocular imagingophthalmic imagingphone appphone applicationpreservationprevalence surveypreventpreventingprognosticprogramsprospectivereal time modelrealtime modelremote gradingremote reviewremote testingresponseskillssmart phonesmartphonesmartphone applicationsmartphone based appsmartphone based applicationtooltransmission processvalidationsvision lossvisual lossyoungster
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PROJECT SUMMARY/ABSTRACT
Trachoma is the leading infectious cause of vision loss worldwide, and one of the most important causes of

irreversible blindness, afflicting people in some of the world’s poorest regions. Global efforts to eliminate

trachoma have led to substantial reductions in prevalence in some areas, but new tools are needed to…

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