grant
Enhancing Suicide Risk Detection through Computer Vision: a Novel Approach to Tissue Damage Analysis in Emergency Care
Organization MASSACHUSETTS GENERAL HOSPITALLocation BOSTON, UNITED STATESPosted 1 Apr 2026Deadline 31 Dec 2030
NIHUS FederalResearch GrantFY202610 year old10 years of age12 year old12 years of ageAI AugmentedAI assistedAI drivenAI enhancedAI integratedAI poweredAccident and Emergency departmentActive Follow-upAddressAffectAlgorithmsAreaArtificial Intelligence enhancedAssessment instrumentAssessment toolAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBlackBlack raceBody TissuesCaringCause of DeathCell Communication and SignalingCell SignalingCessation of lifeChildhoodCicatrixClassificationClinicalComputer Vision SystemsCutaneous imagingDataDeathDeliberate Self-HarmDermatological ImagingDetectionDevelopmentDisparitiesDisparityDocumentationED careED patientED visitER careER patientER visitElectronic Health RecordEmergency CareEmergency DepartmentEmergency Department careEmergency Department patientEmergency Room careEmergency Room patientEmergency care visitEmergency department visitEmergency health careEmergency hospital visitEmergency medical careEmergency roomEmergency room visitFrequenciesFutureGoalsGrantHarvestHistoryHospital AdministratorsHospitalsImageInfectionInterviewIntracellular Communication and SignalingJudgmentLatineLatinxMachine LearningMalignant Skin NeoplasmMeasuresMedicalMedical ImagingMedical RecordsMedicineMemoryMethodsModelingMonitorNIMHNational Institute of Mental HealthPRISM frameworkPRISM modelParticipantPatient Self-ReportPatientsPerformancePersonal awarenessPopulationPostoperativePostoperative PeriodPractical Robust Implementation and Sustainability ModelPragmatic, Robust Implementation and Sustainability ModelPredicting RiskProceduresPublic HealthRecording of previous eventsReportingResearchResearch PriorityRiskRisk AssessmentSamplingScarsSelf AssessmentSelf PerceptionSelf imageSelf viewSelf-Injurious BehaviorSelf-ReportSeveritiesSignal TransductionSignal Transduction SystemsSignalingSkinSkin CancerSkin ImagingSkin TissueStandardizationSuicideSuicide attemptSuicide precautionSuicide preventionSystemSystematicsTechniquesTechnologyTissue imagingTissuesVisitYouthYouth 10-21active followupadult youthage 10age 10 yearsage 12age 12 yearsalgorithm trainingarmartificial intelligence assistedartificial intelligence augmentedartificial intelligence drivenartificial intelligence integratedartificial intelligence poweredassessment appassessment applicationbiological signal transductioncomputer based predictioncomputer visioncutaneous tissuedeep learningdeep learning methoddeep learning strategydeliberate self harmdevelopmentalelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordenhanced with AIenhanced with Artificial Intelligenceethnic biasethnic minority groupethnic minority individualethnic minority peopleethnic minority populationexperiencefatal attemptfatal suicidefollow upfollow-upfollowed upfollowupforecasting riskformative assessmentformative evaluationhealth care settingshigh riskhistoriesimagingimplementation determinantsimplementation factorsimprovedindexinginnovateinnovationinnovativeinpatient psychiatric careinpatient psychiatric treatmentinsightintent to dieintentional self harmintentional self injurymachine based learningmalignant skin tumormulti-racialmultiracialnew approachesnon fatal attemptnon-suicidal self injurynonfatal attemptnonsuicidal self injurynovelnovel approachesnovel strategiesnovel strategypediatricpoint of carepredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive modelingpredictive riskpredicts riskprevent suicidalityprevent suicideprospectivepsychiatric hospitalizationrace biasracial biasracial minority groupracial minority individualracial minority peopleracial minority populationrecruitremote assessmentremote evaluationrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsscale upself awarenessself harmself injuryself knowledgesuicidalsuicidal attemptsuicidal behaviorsuicidal risksuicidalitysuicidality preventionsuicide behaviorsuicide interventionsuicide ratesuicide risksuicidestechnology implementationtechnology validationten year oldten years of agetwelve year oldtwelve years of ageyoung adultyoung adult ageyoung adulthoodyouth age
Description preview
SUMMARY
Suicide is the second leading cause of death among youth and young adults ages 10-24, with rates having
risen over 60% in the past 15 years. Emergency Department (ED) visits for psychiatric concerns among this
population have also doubled, often prompted by suicide-related concerns. However, ED clinicians often find it
difficult to…
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