[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100578596":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":15,"locations":21,"responsibleParty":36,"collaborators":40,"id":46,"slug":47,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":54,"sex":55,"minAge":56,"maxAge":57,"enrollmentInfo":58,"targetDuration":61,"studyType":62,"phases":10,"briefSummary":63,"conditions":64,"keywords":68,"overallStatus":24,"whyStopped":10,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":78,"leadSponsor":80,"locationsCount":81},{"fullName":5,"class":6},"Faculdade de Ciências Médicas de Minas Gerais","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Patients diagnosed with fibromyalgia",null,"The aim is to follow fibromyalgia patients over a period of months to analyze pain intensity and identify molecular markers associated with the condition. The study encompasses facial analysis techniques and molecular markers, along with artificial intelligence tools, to quantify pain and understand the underlying mechanisms of fibromyalgia. The methodology is predominantly quantitative, focused on collecting and analyzing objective data on pain and associated markers.",{"label":13,"type":10,"description":14,"interventionNames":10},"Patients without a diagnosis of fibromyalgia","The aim is to follow patients with pain over a period of months to analyze the intensity and identify molecular markers associated with the condition. The study encompasses facial analysis techniques and molecular markers, along with artificial intelligence tools, to quantify pain and understand the underlying mechanisms of fibromyalgia. The methodology is predominantly quantitative, focused on collecting and analyzing objective data on pain and associated markers.",[16],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},"Alessandra H De Souza, PhD","CONTACT","55-31984205240","alessandra.souza@cienciasmedicasmg.edu.br",[22],{"facility":23,"status":24,"city":25,"state":26,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":10},"Outpatient Faculty Medical Sciences","RECRUITING","Belo Horizonte","Minas Gerais","30130110","Brazil","BR",{"type":31,"coordinates":32},"Point",[33,34],-43.93778,-19.92083,{"lat":34,"lon":33},{"type":37,"investigatorFullName":38,"investigatorTitle":39,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Alessandra Hubner de Souza","Main supervisor of the study, statistical analyst and specialist in pain studies; pHd IN Pharmacological Sciences",[41,43],{"name":42,"class":6},"Fundação de Amparo à Pesquisa do estado de Minas Gerais",{"name":44,"class":45},"Conselho Nacional de Desenvolvimento Científico e Tecnológico","OTHER_GOV","100578596","analysis-of-facial-expressions-for-pain-recognition-in-fibromyalgia-using-artificial-intelligence-and-biomarkers-100578596",false,"NCT06813352","Analysis of Facial Expressions for Pain Recognition in Fibromyalgia: Using Artificial Intelligence and Biomarkers","Analysis of Facial Expressions for Pain Recognition: Using Artificial Intelligence and Biomarkers as a Pain Diagnostic Tool in Fibromyalgia, a Pilot Study","Fibromyalgia","Inclusion Criteria:\n\n* The inclusion criteria are patients with no diagnosed cognitive deficit and who are willing to take part in the study.\n\nExclusion Criteria:\n\n* Exclusion criteria are patients who use medication that can affect anxiety or depression or inability to understand the instructions.",true,"ALL","18 Years","65 Years",{"count":59,"type":60},122,"ESTIMATED","1 Day","OBSERVATIONAL","Fibromyalgia (FM) is a chronic musculoskeletal pain syndrome with characteristics of generalized body pain, low pain threshold, tenderness and stiffness in muscles, tendons and joints. The assessment of pain in this condition is a challenge due to its subjective nature. A promising approach to assessing pain intensity is facial expression analysis, which can serve as an objective indicator. In addition, research seeks to identify molecular molecular markers to quantify pain. However, the lack of a standardized system has made it difficult to identify reliable markers. In summary, the search for objective methods of assessing pain in fibromyalgia is essential in order to develop more effective more effective treatments. Facial expression analysis and the investigation of molecular markers are promising ways of quantifying pain intensity more accurately and intensity of pain more accurately and reliably in fibromyalgia.",[65,66,67],"Fibromyalgia (FM)","Pain","Catastrophizing Pain",[52,69,70,71,72],"Artificial intelligence","Molecular biomarkers","Catastrophism","Facial expression","2025-11-17",{"date":75,"type":76},"2025-11-19","ACTUAL",{"date":73,"type":76},{"date":79,"type":60},"2026-09-01",{"name":5,"class":6},1]