grant
The Effects of Cue Precision on Medical Imaging Interpretation
Organization NEW YORK INST OF TECHNOLOGYLocation OLD WESTBURY, UNITED STATESPosted 12 Aug 2025Deadline 31 Jul 2029
NIHUS FederalResearch GrantFY20253-D3-D Images3-D image3-Dimensional3D3D image3D imagesAI AugmentedAI assistedAI drivenAI enhancedAI integratedAI poweredAI systemAccuracy of DiagnosisAppearanceAppleArtificial IntelligenceArtificial Intelligence enhancedAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIAutomobile DrivingBehaviorBiomedical ResearchCAT scanCT X RayCT XrayCT imagingCT scanCXRClassificationClinicalComputed TomographyComputer ReasoningCuesDevelopmentEnvironmentExpert SystemsEyeEye MovementsEyeballFruitFutureGeneral RadiologyHealth CareHealth Care ProfessionalHealth ProfessionalHistoryImageImage AnalysesImage AnalysisIncidental FindingsIntelligent systemsKnowledgeLabelLearningLocationMachine IntelligenceMalus domesticaMedical ImagingModalityModelingNational Institutes of HealthNatureNoduleOutcomePancreatitisParticipantPatientsPerformancePersonsPhysiciansProcessRadiologyRadiology SpecialtyRecording of previous eventsReportingResearchSpinal FracturesStimulusSystemSystematicsTaxesTextThinkingThoracic RadiographyThree-Dimensional ImageTimeTomodensitometryUnited States National Institutes of HealthVisualWorkX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXray CAT scanXray Computed TomographyXray computerized tomographyartificial intelligence assistedartificial intelligence augmentedartificial intelligence drivenartificial intelligence integratedartificial intelligence poweredcatscanchest X raychest Xraychest radiographycomputed axial tomographycomputer aided detectioncomputer assisted detectioncomputer tomographycomputerized axial tomographycomputerized tomographydetection platformdetection systemdevelopmentaldiagnostic accuracydietary fruitdiscovery miningdrivingenhanced with AIenhanced with Artificial Intelligenceexpectationexperimentexperimental researchexperimental studyexperimentsfallsgazehistoriesimage evaluationimage interpretationimagingimaging studyimprovedliterature miningliterature searchinglung radiographynew approachesnon-contrast CTnoncontrast CTnoncontrast computed tomographynovel approachesnovel strategiesnovel strategyprogramsradiographic chest imageradiographic lung imageradiologistresponsespine fracturetargeted imagingtext miningtext searchingthoracic radiogramthorax radiographythoughtsthree dimensionaltoolundergradundergraduateundergraduate studentvertebral fracturevisual processvisual processingvisual search
Description preview
PROGRAM SUMMARY:
It is undesirable for radiologists to search for only one specific thing at a time, as they
may miss unexpected findings. Despite this, there is evidence that prior knowledge and expectations (from
clinical history or other cues) alter radiologists’ search performance and diagnostic accuracy. As Artificial
Intelligence tools are…
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