[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100643789":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":25,"locations":35,"responsibleParty":70,"collaborators":10,"id":72,"slug":73,"hasResults":74,"nctId":75,"briefTitle":76,"officialTitle":76,"acronym":77,"eligibilityCriteria":78,"healthyVolunteers":79,"sex":80,"minAge":10,"maxAge":10,"enrollmentInfo":81,"targetDuration":10,"studyType":84,"phases":10,"briefSummary":85,"conditions":86,"keywords":91,"overallStatus":107,"whyStopped":10,"lastUpdateSubmitDate":108,"lastUpdatePostDateStruct":109,"startDateStruct":112,"completionDateStruct":114,"leadSponsor":116,"locationsCount":117},{"fullName":5,"class":6},"Artemis AI Labs","INDUSTRY",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"NICU-Admitted Infants Undergoing Continuous Video Monitoring",null,"Infants admitted to newborn services, including the neonatal intensive care unit (NICU), who meet eligibility criteria and undergo continuous, non-contact bedside video monitoring from enrollment until hospital discharge.",[13],"Device: Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DEVICE","Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring","A non-contact, passive bedside video recording system is mounted adjacent to the infant's crib or incubator. The device continuously captures video data from enrollment to hospital discharge or withdrawal. The device runs AI models to track infant anatomic landmarks and calculate a continuous movement index. The trial runs in \"silent mode,\" where AI outputs are not shown to the patient's clinical team and do not influence care.",[9],[21],{"name":22,"affiliation":23,"role":24},"Benjamin Glicksberg, PhD","Icahn School of Medicine at Mount Sinai","PRINCIPAL_INVESTIGATOR",[26,31],{"name":27,"role":28,"phone":29,"phoneExt":10,"email":30},"Saum Naderi, MA","CONTACT","714-913-3641","saum@artemisailabs.com",{"name":32,"role":28,"phone":33,"phoneExt":10,"email":34},"Florian Richter, PhD","773-312-3301","florian@artemisailabs.com",[36,57],{"facility":37,"status":10,"city":38,"state":38,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Mount Sinai Hospital","New York","10029","United States","US",{"type":43,"coordinates":44},"Point",[45,46],-74.00597,40.71427,{"lat":46,"lon":45},[49,53,56],{"name":50,"role":28,"phone":51,"phoneExt":10,"email":52},"Klaren Ng","347-525-8336","klaren.ng@mssm.edu",{"name":54,"role":28,"phone":10,"phoneExt":10,"email":55},"Rachelle Weisman, MPH","rachelle.weisman@mssm.edu",{"name":22,"role":24,"phone":10,"phoneExt":10,"email":10},{"facility":58,"status":10,"city":38,"state":38,"zip":59,"country":40,"countryCode":41,"cosmosGeoPoint":60,"geoPoint":62,"contacts":63},"Weill Cornell Medicine \u002F NewYork-Presbyterian Hospital","10065",{"type":43,"coordinates":61},[45,46],{"lat":46,"lon":45},[64,68],{"name":65,"role":28,"phone":66,"phoneExt":10,"email":67},"Martha Liu","646-697-6428","mal4038@med.cornell.edu",{"name":69,"role":24,"phone":10,"phoneExt":10,"email":10},"Sushma Krishna, MD",{"type":71,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100643789","neonatal-neurological-observation-with-video-ai-100643789",false,"NCT07628829","Neonatal Neurological Observation With Video AI","NeoNOVA","Inclusion Criteria:\n\n* Signed and dated informed consent from at least one parent or legally authorized representative (LAR) who is at least 18 years old.\n* Parent\u002FLAR expresses willingness to comply with study procedures for the duration of the infant's hospital stay.\n* Infant of any sex (including intersex\u002Fundetermined) admitted to newborn services (including the NICU) at a participating hospital.\n\nExclusion Criteria:\n\n* Parents or LAR unable to provide informed consent or are under the age of 18.\n* Non-viable neonates",true,"ALL",{"count":82,"type":83},200,"ESTIMATED","OBSERVATIONAL","NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside non-contact high definition video running real-time AI analysis of anatomic landmarks and movement, (Comparison) compared against human-labeled video frames and standardized clinical exams, will (Outcome) accurately localize infant anatomic landmarks (primary objective; outcome median position error in pixels) and demonstrate a statistically significant association between a video-derived movement index and clinical measures of patient neurological exams (secondary objective; outcomes N-PASS and modified Sarnat exams).",[87,88,89,90],"Neonatal Encephalopathy","Hypoxic-Ischemic Encephalopathy","Sedation","Sleep",[92,93,94,95,96,97,98,99,100,89,101,102,103,104,105,106],"Pose AI","Neonatal","Neonate","AI","Video AI","artificial intelligence","computer vision","NICU","Encephalopathy","neonatal monitoring","movement analysis","pose estimation","machine learning","neurological assessment","spontaneous movement","NOT_YET_RECRUITING","2026-06-05",{"date":110,"type":111},"2026-06-08","ACTUAL",{"date":113,"type":83},"2026-06-01",{"date":115,"type":83},"2029-05-31",{"name":5,"class":6},2]