[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100562207":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":13,"locations":19,"responsibleParty":39,"collaborators":7,"id":43,"slug":44,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":7,"eligibilityCriteria":49,"healthyVolunteers":45,"sex":50,"minAge":7,"maxAge":7,"enrollmentInfo":51,"targetDuration":7,"studyType":54,"phases":7,"briefSummary":12,"conditions":55,"keywords":7,"overallStatus":22,"whyStopped":7,"lastUpdateSubmitDate":57,"lastUpdatePostDateStruct":58,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":66},{"fullName":5,"class":6},"LMU Klinikum","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"PROCEDURE","Ex vivo confocal microscopy","The aim is to use AI to assist surgeons in analyzing CLSM tissue slide images obtained during BCC surgeries with the aim to integrate it in real time. We plan to use AI to analyze CLSM images of BCCs and distinguish between tumor tissue, inflammatory tissue, and non-tumor\u002Fnon-inflammatory tissue. This approach would provide surgeons with real-time feedback and automated image analysis, leading to a more targeted and efficient approach to tissue analysis. By improving the accuracy and speed of tissue analysis, our proposal could ultimately improve operative patient outcomes and benefit healthcare professionals.",[14],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Maximilian Deußing, Dr.","CONTACT","+4989440056010","maximilian.deussing@med.uni-muenchen.de",[20],{"facility":21,"status":22,"city":23,"state":24,"zip":25,"country":26,"countryCode":27,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"Clinic and Policlinic of Dermatology and Allergy, LMU Munich","RECRUITING","Munich","Bavaria","80337","Germany","DE",{"type":29,"coordinates":30},"Point",[31,32],11.57549,48.13743,{"lat":32,"lon":31},[35],{"name":36,"role":16,"phone":37,"phoneExt":7,"email":38},"Maximilian Deussing, MD","+49440056010","befunde.dermatologie@med.uni-muenchen.de",{"type":40,"investigatorFullName":41,"investigatorTitle":42,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Maximilian Deußing","Principal Investigator","100562207","intraoperative-confocal-laser-scanning-microscopy-with-use-of-ai-for-optimized-surgical-excision-of-basal-cell-carcinoma-100562207",false,"NCT06600165","Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma","Intraoperative Confocal Laser Scanning Microscopy and Artificial Intelligence for Optimized Surgical Excision of Basal Cell Carcinoma","Inclusion Criteria:\n\n* Patients with Basal Cell Carcinoma\n\nExclusion Criteria:\n\n* Patient unable to consent","ALL",{"count":52,"type":53},1000,"ESTIMATED","OBSERVATIONAL",[56],"Basal Cell Carcinoma","2025-09-02",{"date":59,"type":60},"2025-09-09","ACTUAL",{"date":62,"type":60},"2025-03-01",{"date":64,"type":53},"2027-12-31",{"name":5,"class":6},1]