[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100604037":3},{"organization":4,"outcomesModule":7,"designInfo":14,"detailedDescription":17,"studyPopulation":18,"armGroups":19,"interventions":24,"overallOfficials":29,"centralContacts":34,"locations":40,"responsibleParty":59,"collaborators":61,"id":65,"slug":13,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":68,"acronym":69,"eligibilityCriteria":70,"healthyVolunteers":71,"sex":72,"minAge":73,"maxAge":13,"enrollmentInfo":74,"targetDuration":77,"studyType":78,"phases":13,"briefSummary":79,"conditions":80,"keywords":82,"overallStatus":43,"whyStopped":13,"lastUpdateSubmitDate":88,"lastUpdatePostDateStruct":89,"startDateStruct":92,"completionDateStruct":94,"leadSponsor":96,"locationsCount":97},{"fullName":5,"class":6},"Nuvana Healthcare LTD","INDUSTRY",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":13},[9],{"measure":10,"description":11,"timeFrame":12},"Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis","Diagnostic Accuracy of AI tool compared with dermatologist-confirmed diagnosis\n\nTime Frame: Up to 12 months\n\nMeasure: Sensitivity, specificity, and predictive values","Time Frame: Up to 12 months",null,{"allocation":13,"interventionModel":13,"interventionModelDescription":13,"primaryPurpose":13,"observationalModel":15,"timePerspective":16,"maskingInfo":13},"ECOLOGIC_OR_COMMUNITY","PROSPECTIVE","The study will collect retrospective and prospective anonymized skin lesion images and metadata to validate the AI algorithm against dermatology-confirmed diagnoses. The aim is to determine sensitivity, specificity, and predictive value of the AI tool across diverse populations and skin tones. The study will also assess user experience, accessibility, and integration into clinical care pathways.","Study Population Description: Individuals undergoing dermatology evaluation in UK clinics, supplemented by retrospective anonymized image datasets.",[20],{"label":21,"type":13,"description":13,"interventionNames":22},"Participants with suspicious skin lesions undergoing AI-based image analysis and dermatologist confi",[23],"Diagnostic Test: Smartphone-based AI skin lesion analysis (NuvanaDx platform).",[25],{"type":26,"name":27,"description":27,"armGroupLabels":28,"otherNames":13},"DIAGNOSTIC_TEST","Smartphone-based AI skin lesion analysis (NuvanaDx platform).",[21],[30],{"name":31,"affiliation":32,"role":33},"Aryan Chaudhary,","Scientific Advisor \u002F Co-Founder, Nuvana Healthcare","STUDY_CHAIR",[35],{"name":36,"role":37,"phone":38,"phoneExt":13,"email":39},"Sushma Saxena, Director, Nuvana Healthcare Ltd","CONTACT","+44 7481986525","sushma.saxena@nuvana.co.uk",[41],{"facility":42,"status":43,"city":44,"state":13,"zip":13,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"Nuvana Healthcare Ltd","RECRUITING","London","United Kingdom","UK",{"type":48,"coordinates":49},"Point",[50,51],-0.12574,51.50853,{"lat":51,"lon":50},[54,56],{"name":55,"role":37,"phone":38,"phoneExt":13,"email":39},"Sushma Saxena, B.Tech, Msci",{"name":57,"role":58,"phone":13,"phoneExt":13,"email":13},"Aryan Chaudhary","PRINCIPAL_INVESTIGATOR",{"type":60,"investigatorFullName":13,"investigatorTitle":13,"investigatorAffiliation":13,"oldNameTitle":13,"oldOrganization":13},"SPONSOR",[62],{"name":63,"class":64},"National Institute for Health Research, United Kingdom","OTHER_GOV","100604037",false,"NCT07144306","AI-Driven Early Detection of Skin Cancer","Skin Cancer","Inclusion Criteria:\n\nAdults (≥18 years) presenting with skin lesions suspicious for malignancy.\n\nAbility to provide informed consent.\n\nExclusion Criteria:\n\nInability to provide informed consent.\n\nPoor-quality images unsuitable for AI analysis.",true,"ALL","18 Months",{"count":75,"type":76},100,"ESTIMATED","50 Months","OBSERVATIONAL","This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging. The platform is designed to improve access to early diagnosis, reduce waiting times, and support triage into appropriate care pathways.",[81],"Skin Cancer Melanoma",[69,83,84,85,86,87],"Melanoma","Early Detection","Artificial Intelligence","Dermatology","Digital Health","2025-09-25",{"date":90,"type":91},"2025-09-26","ACTUAL",{"date":93,"type":76},"2025-10-01",{"date":95,"type":76},"2026-01-01",{"name":5,"class":6},1]