[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"gingival-phenotype-assessment\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:gingival-phenotype-assessment":24},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":15,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":25,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":4},"100636792","comparison-of-artificial-intelligence-and-clinicians-with-different-experience-levels-in-assessing-gingival-phenotype-100636792",false,"NCT07570290","Comparison of Artificial Intelligence and Clinicians With Different Experience Levels in Assessing Gingival Phenotype","Inclusion Criteria for Volunteer Participants Who Will Participate in Transparency and Visual Assessment:\n\n* Systemically and periodontally healthy individuals.\n* Presence of natural maxillary anterior incisors.\n\nExclusion Criteria:\n\n* Presence of fixed crowns or cervical restorations on the evaluated teeth.\n* Pregnant or breastfeeding women.\n* Signs of gingival inflammation or periodontal disease with attachment loss.\n* Presence of buccal gingival recession.\n* Use of medications known to cause gingival enlargement.\n* Presence of congenital anomalies or dental structural defects.\n\nInclusion Criteria for Clinicians:\n\n* Research assistants: Must be currently working in the Department of Periodontology.\n* Dental Intern Students: Fourth- or fifth-year students who have completed periodontology clinical rotation.\n\nExclusion Criteria for Clinicians:\n\n* Those who are confirmed to be color blind by the Ishihara test",true,"ALL","18 Years",{"count":19,"type":20},40,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to compare the performance of clinicians with different experience levels and a deep learning-based artificial intelligence (AI) model in assessing gingival phenotype using two diagnostic methods: the periodontal probe transparency method and visual assessment from standardized clinical photographs. The main questions the study aims to answer are:\n\nCan AI achieve comparable accuracy to human examiners in both probe transparency and visual assessment methods?\n\nDoes examiner experience level influence diagnostic performance and agreement with the reference standard in these methods?\n\nResearchers will compare AI, dental students, and periodontology research assistants to determine accuracy, sensitivity, specificity, and agreement with the gold standard for each method.\n\nParticipants will:\n\nUndergo standardized intraoral photography of maxillary anterior teeth, with and without a periodontal probe in place, following a validated protocol.\n\nHave gingival phenotype determined by a reference periodontologist using the probe transparency method as the gold standard.\n\nHave their photographs evaluated by AI, dental students, and research assistants for phenotype classification using both methods.",[24],"Gingival Phenotype Assessment",[26,27,28,29],"gingiva","Gingival phenotype","Deep Learning","Transparency Method","NOT_YET_RECRUITING","2026-05-06",{"date":33,"type":34},"2026-05-11","ACTUAL",{"date":36,"type":20},"2026-05-15",{"date":38,"type":20},"2026-10-15",{"name":40,"class":41},"Ondokuz Mayıs University","OTHER"]