[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100638268":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":10,"centralContacts":18,"locations":24,"responsibleParty":38,"collaborators":40,"id":43,"slug":44,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":47,"acronym":10,"eligibilityCriteria":48,"healthyVolunteers":45,"sex":49,"minAge":50,"maxAge":10,"enrollmentInfo":51,"targetDuration":10,"studyType":54,"phases":10,"briefSummary":55,"conditions":56,"keywords":61,"overallStatus":72,"whyStopped":10,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"National Taiwan University Hospital","OTHER",[8],{"label":9,"type":10,"description":9,"interventionNames":11},"patients with hard-to-heal wounds",null,[12],"Other: Marker-free wound image registration technology",[14],{"type":6,"name":15,"description":16,"armGroupLabels":17,"otherNames":10},"Marker-free wound image registration technology","Marker-free longitudinal wound image registration and wound progression assessment using serial wound photographs.",[9],[19],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},"Hui-Hsiu Chang","CONTACT","886-972655406","huihsiu@gmail.com",[25],{"facility":26,"status":10,"city":27,"state":28,"zip":29,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":10},"National Taiwan University Hospital Yunlin branch","Douliu","Yunlin","640","Taiwan","TW",{"type":33,"coordinates":34},"Point",[35,36],120.54333,23.70944,{"lat":36,"lon":35},{"type":39,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[41],{"name":42,"class":6},"Industrial Technology Research Institute, Taiwan","100638268","ai-based-wound-monitoring-automated-wound-progression-assessment-via-marker-free-image-sequence-100638268",false,"NCT07619430","AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence","Inclusion Criteria:\n\n* (1) Presence of a hard-to-heal wound that has remained unhealed for more than one month. (2)The wound can be photographed according to the standardized imaging protocol. (3)The participant was aged 18 years or older and provided informed consent personally or via a legally authorized representative, with a signed informed consent form.\n\nExclusion Criteria:\n\n* Wounds whose margins could not be fully included within the imaging field.","ALL","18 Years",{"count":52,"type":53},1000,"ESTIMATED","OBSERVATIONAL","This study aims to develop a low-cost, marker-free intelligent wound assessment system that can analyze wound photos taken with a standard smartphone. By comparing wound images over time, the system will generate a quantifiable Wound Progression Index (WPI) to provide objective feedback on whether a wound is improving, stable, or worsening. The long-term goal is to support early detection of wound deterioration and improve wound care in both clinical and home settings.",[57,58,59,60],"Hard-to-heal Wounds","AI (Artificial Intelligence)","Wound Care","Pressure Injuries",[62,63,64,65,66,67,68,69,70,71],"chronic wounds","wound assessment","medical AI","semantic segmentation","longitudinal image registration","marker-free","wound progression index","home-based care","telemedicine","clinical validation","NOT_YET_RECRUITING","2026-05-27",{"date":75,"type":76},"2026-06-02","ACTUAL",{"date":78,"type":53},"2026-06-08",{"date":80,"type":53},"2027-12-31",{"name":5,"class":6},1]