[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100595493":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":16,"locations":22,"responsibleParty":47,"collaborators":49,"id":53,"slug":54,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":10,"eligibilityCriteria":59,"healthyVolunteers":55,"sex":60,"minAge":61,"maxAge":10,"enrollmentInfo":62,"targetDuration":10,"studyType":65,"phases":10,"briefSummary":66,"conditions":67,"keywords":69,"overallStatus":25,"whyStopped":10,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"Wake Forest University Health Sciences","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Patient at Advocate Health dermatology clinic",null,"The study, subject recruitment, and analysis will be conducted within the Advocate Health system at Atrium Health Wake Forest Baptist (AHWFB) in Winston-Salem, NC. Recruiters for this study include Advocate Health dermatology attendings, fellows, and staff, who will capture images of patients presenting to Wake Forest Dermatology Clinics in Winston-Salem, NC.",[13],{"name":14,"affiliation":5,"role":15},"Lindsay C Strowd, MD","PRINCIPAL_INVESTIGATOR",[17],{"name":18,"role":19,"phone":20,"phoneExt":10,"email":21},"Irma M Richardson, MHA","CONTACT","336-716-2903","irichard@wakehealth.edu",[23],{"facility":24,"status":25,"city":26,"state":27,"zip":28,"country":29,"countryCode":30,"cosmosGeoPoint":31,"geoPoint":36,"contacts":37},"Wake Forest University Health Sciences Department of Dermatology","RECRUITING","Winston-Salem","North Carolina","27157","United States","US",{"type":32,"coordinates":33},"Point",[34,35],-80.24422,36.09986,{"lat":35,"lon":34},[38,42,45],{"name":39,"role":19,"phone":40,"phoneExt":10,"email":41},"Chenan Huang, MD","321-948-1368","Chenan.Huang@advocatehealth.org",{"name":43,"role":19,"phone":20,"phoneExt":10,"email":44},"irma M Richardson, MHA","irma.richardson@advocatehealth.org",{"name":46,"role":15,"phone":10,"phoneExt":10,"email":10},"Lindsay C Strowd, MD,",{"type":48,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[50],{"name":51,"class":52},"BelleTorus Corporation","INDUSTRY","100595493","a-skin-image-reference-tool-to-aid-healthcare-providers-diagnosis-100595493",false,"NCT07033169","A Skin Image Reference Tool to Aid Healthcare Providers' Diagnosis","A Skin Image Reference Tool to Aid Healthcare Providers' Diagnosis of Commonly Encountered Dermatologic Diseases","Inclusion Criteria:\n\n* Patient must present to an Advocate Health dermatology clinic\n* Patient must have the ability and willingness to provide informed consent and comply with study procedures and visits\n* Participant dermatologists must have access to the required technology (e.g., smartphone with internet access) and be capable of using it for the required image capture\n\nExclusion Criteria:\n\n* Patients who are unable to comply with study procedures due to physical or mental health limitations (as assessed by study coordinator)\n* Pediatric, adolescent, and teen patients who present with dermatological conditions on their genitalia will not be included in the study (in support of patient privacy concerns).","ALL","10 Years",{"count":63,"type":64},400,"ESTIMATED","OBSERVATIONAL","Consented patients will have three images taken of their dermatologic conditions within the Belle.ai software. These images will be uploaded and saved within the Belle software system where a single AI-generated differential list will be generated based on the three photos. All photos uploaded will be de-identified. The software will not have any unique identifiers of participants saved in the system. The photos will be named based on participant enrollment numbers or unique code numbers and no unique identifiers will be attached to the photos. There will be no data collection form necessary for this study",[68],"Dermatologic Disease",[70,71,72],"artificial intelligence","skin diseases","dermatology","2025-10-22",{"date":75,"type":76},"2025-10-24","ACTUAL",{"date":78,"type":76},"2025-09-15",{"date":80,"type":64},"2027-12",{"name":5,"class":6},1]