[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100483781":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":17,"locations":27,"responsibleParty":70,"collaborators":73,"id":84,"slug":10,"hasResults":85,"nctId":86,"briefTitle":87,"officialTitle":87,"acronym":88,"eligibilityCriteria":89,"healthyVolunteers":85,"sex":90,"minAge":91,"maxAge":92,"enrollmentInfo":93,"targetDuration":10,"studyType":96,"phases":10,"briefSummary":97,"conditions":98,"keywords":100,"overallStatus":30,"whyStopped":10,"lastUpdateSubmitDate":104,"lastUpdatePostDateStruct":105,"startDateStruct":108,"completionDateStruct":110,"leadSponsor":112,"locationsCount":113},{"fullName":5,"class":6},"York University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Infants Hospitalized in the NICU",null,"Infants born between 28 0\u002F7 weeks 32 6\u002F7 weeks gestational age, who are within 6 weeks postnatal age, and their caregiver and\u002For health professional will be recruited for qualitative interview.",[13],{"name":14,"affiliation":15,"role":16},"Rebecca Pillai Riddell, PhD","York University\u002FMount Sinai Hospital","PRINCIPAL_INVESTIGATOR",[18,22],{"name":14,"role":19,"phone":20,"phoneExt":10,"email":21},"CONTACT","416736200","rpr@yorku.ca",{"name":23,"role":19,"phone":24,"phoneExt":25,"email":26},"Lorenzo Fabrizi, PhD","02031081888","51888)","l.fabrizi@ucl.ac.uk",[28,50],{"facility":29,"status":30,"city":31,"state":32,"zip":33,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Mount Sinai Hospital","RECRUITING","Toronto","Ontario","M5G 1X5","Canada","CA",{"type":37,"coordinates":38},"Point",[39,40],-79.39864,43.70643,{"lat":40,"lon":39},[43,47],{"name":44,"role":19,"phone":45,"phoneExt":10,"email":46},"Vibhuti Shah, MD","416-586-4816","vibhuti.shah@sinaihealthsystem.ca",{"name":48,"role":19,"phone":45,"phoneExt":10,"email":49},"Carol Cheng, MSc","carol.cheng@sinaihealthsystem.ca",{"facility":51,"status":30,"city":52,"state":53,"zip":54,"country":55,"countryCode":56,"cosmosGeoPoint":57,"geoPoint":61,"contacts":62},"University College London Hospital","London","No Province","N1 2EP","United Kingdom","UK",{"type":37,"coordinates":58},[59,60],-0.12574,51.50853,{"lat":60,"lon":59},[63,67],{"name":64,"role":19,"phone":65,"phoneExt":10,"email":66},"Judith Meek, MD","020 3447 8094","judith.meek@nhs.net",{"name":68,"role":19,"phone":65,"phoneExt":10,"email":69},"Pureza Laudano-Dray, BScN","Pureza m.laudiano-dray@ucl.ac.uk",{"type":16,"investigatorFullName":71,"investigatorTitle":72,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"RRiddell","Full Professor",[74,76,78,80,82],{"name":75,"class":6},"MOUNT SINAI HOSPITAL",{"name":77,"class":6},"University College, London",{"name":79,"class":6},"University College London Hospitals",{"name":81,"class":6},"University of Calgary",{"name":83,"class":6},"McMaster University","100483781",false,"NCT05579496","Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice","BabyAI","* QUALITATIVE INTERVIEWS\n* Inclusion Criteria:\n* parents of a child currently in the NICU or\n* health professionals currently working in the NICU.\n* Exclusion Criteria:\n* Participants who cannot communicate fluently in English\n* QUANTITITATIVE DATA CAPTURE (video, eeg, ecg, SPo2)\n* Inclusion Criteria:\n* Infants born between 28 0\u002F7 weeks 32 6\u002F7 weeks gestational age\n* Infants who are within 6 weeks postnatal age\n* Infants who are undergoing a routine heel lance\n* Exclusion Criteria:\n* Infants with congenital malformations\n* Infants receiving analgesics or sedatives at the time of study (aside from sucrose),\n* Infants with history of perinatal hypoxia\u002Fischemia at the time of study.\n* Infants with diaper rash or excoriated buttocks","ALL","27 Weeks","33 Weeks",{"count":94,"type":95},400,"ESTIMATED","OBSERVATIONAL","A multi-national multidisciplinary team will be working collaboratively to build a machine learning algorithm to distinguish between preterm infant distress states in the Neonatal Intensive Care Unit.",[99],"Acute Pain",[101,102,103],"NICU (Neonatal Intensive Care Unit)","Artificial Intelligence","Pain Assessment","2022-10-11",{"date":106,"type":107},"2022-10-13","ACTUAL",{"date":109,"type":107},"2020-11-01",{"date":111,"type":95},"2026-12",{"name":5,"class":6},2]