[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100626171":3},{"organization":4,"outcomesModule":7,"designInfo":19,"detailedDescription":25,"studyPopulation":18,"armGroups":26,"interventions":37,"overallOfficials":18,"centralContacts":18,"locations":50,"responsibleParty":69,"collaborators":18,"id":73,"slug":18,"hasResults":74,"nctId":75,"briefTitle":76,"officialTitle":77,"acronym":18,"eligibilityCriteria":78,"healthyVolunteers":74,"sex":79,"minAge":80,"maxAge":81,"enrollmentInfo":82,"targetDuration":18,"studyType":85,"phases":86,"briefSummary":88,"conditions":89,"keywords":91,"overallStatus":53,"whyStopped":18,"lastUpdateSubmitDate":100,"lastUpdatePostDateStruct":101,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":109},{"fullName":5,"class":6},"October University for Modern Sciences and Arts","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":18},[9],{"measure":10,"description":11,"timeFrame":12},"Accuracy of AI-Designed Fixed Dental Prosthesis Compared to Human-Designed Prosthesis","Accuracy will be assessed by superimposing AI-generated crown designs and human-designed crowns using 3D imaging software. The Intersection over Union (IOU) percentage will be calculated to evaluate morphological agreement and occlusal fit between the two design approaches.","Immediately after crown design generation (at time of digital analysis)",[14],{"measure":15,"description":16,"timeFrame":17},"Margin Detection Performance of AI System","Margin detection accuracy will be evaluated using F1 score, precision, and recall metrics to assess the AI model's ability to accurately identify preparation margins compared to human-designed reference models.","Immediately after digital crown design generation",null,{"allocation":20,"interventionModel":21,"interventionModelDescription":18,"primaryPurpose":22,"observationalModel":18,"timePerspective":18,"maskingInfo":23},"RANDOMIZED","PARALLEL","DIAGNOSTIC",{"masking":24,"maskingDescription":18,"whoMasked":18},"NONE","This study is designed as an in vitro comparative study to assess the accuracy and performance of an Artificial Intelligence (AI)-based automatic design system for fixed dental prosthesis (FDP) in comparison with conventional computer-aided design (CAD) software.\n\nDigital scans of patients requiring fixed dental prosthesis will be collected from the production laboratory of the Faculty of Dentistry. Eligible scans will include adults aged 18-65 years with damaged teeth requiring FDP and adequate occlusal anatomy for analysis.\n\nThe AI workflow consists of three sequential phases: training (60%), validation (10%), and testing (30%). The AI model will be trained using natural spatial tooth morphology and historical human-designed FDP datasets. The conventional group will consist of FDPs manually designed by experienced dental professionals using CAD software.\n\nPrimary Outcome:\n\nThe primary outcome is crown design accuracy measured using 3D superimposition analysis and quantified using Intersection over Union (IOU) percentage.\n\nSecondary Outcome:\n\nMargin detection accuracy will be assessed using F1 score, precision, and recall metrics.\n\nStatistical analysis will be performed using MedCalc software (Version 22). Continuous variables will be presented as mean, root mean square, and standard deviation. Comparisons between groups will be conducted using paired t-test with a significance level set at P ≤ 0.05 (two-tailed).\n\nThe null hypothesis states that there will be no statistically significant difference between AI-designed and human-designed fixed dental prostheses.",[27,32],{"label":28,"type":6,"description":29,"interventionNames":30},"Human-Designed Fixed Dental Prosthesis (Conventional CAD)","Fixed dental prostheses will be designed manually using conventional CAD software by experienced dental professionals based on occlusal anatomy and patient-specific scan data. The designs will serve as the control comparator to evaluate accuracy against AI-generated designs using 3D superimposition analysis.",[31],"Other: Conventional CAD-Based Fixed Dental Prosthesis Design",{"label":33,"type":6,"description":34,"interventionNames":35},"AI-Designed Fixed Dental Prosthesis","Fixed dental prostheses will be automatically generated using an artificial intelligence-based design system. The AI model will be trained, validated, and tested using occlusal scan datasets and historical human-designed prostheses. The generated designs will be evaluated for accuracy using 3D superimposition and Intersection over Union (IoU) analysis.",[36],"Other: Artificial Intelligence-Based Fixed Dental Prosthesis Design",[38,44],{"type":6,"name":39,"description":40,"armGroupLabels":41,"otherNames":42},"Conventional CAD-Based Fixed Dental Prosthesis Design","Fixed dental prostheses will be digitally designed using conventional computer-aided design (CAD) software by experienced dental professionals. Designs will be based on occlusal anatomy and patient-specific intraoral scan data. These manually generated digital designs will serve as the comparator for evaluating accuracy against AI-generated designs using 3D superimposition and quantitative accuracy analysis.",[28],[43],"Human Digital Design",{"type":6,"name":45,"description":46,"armGroupLabels":47,"otherNames":48},"Artificial Intelligence-Based Fixed Dental Prosthesis Design","An artificial intelligence-based automated design system will generate fixed dental prosthesis designs using deep learning algorithms. The AI model will be trained (60%), validated (10%), and tested (30%) on occlusal scan datasets and historical human-designed prostheses. Generated designs will be evaluated for accuracy and marginal precision using 3D superimposition and Intersection over Union (IoU) analysis.",[33],[49],"AI Crown Design Model",[51],{"facility":52,"status":53,"city":54,"state":18,"zip":18,"country":55,"countryCode":56,"cosmosGeoPoint":57,"geoPoint":62,"contacts":63},"MSA University","RECRUITING","Giza","Egypt","EG",{"type":58,"coordinates":59},"Point",[60,61],31.20861,30.00944,{"lat":61,"lon":60},[64],{"name":65,"role":66,"phone":67,"phoneExt":18,"email":68},"Modern Sciences and Arts MSA October University for Modern Sciences and Arts","CONTACT","002-0216672","info@msa.edu.eg",{"type":70,"investigatorFullName":71,"investigatorTitle":72,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Tarek Adham Saad Ahmed El-Shammaa","Master student of Prosthodontics","100626171",false,"NCT07432165","Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis","Accuracy Assessment of Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis: (An Invitro Study)","Inclusion Criteria:\n\n* Adults aged 18-65 years Patients with a damaged tooth requiring a fixed dental prosthesis Available digital intraoral scans Adequate occlusal anatomy for analysis of opposing teeth\n\nExclusion Criteria:\n\n* Incomplete or poor-quality digital scans Severe occlusal abnormalities affecting analysis Patients outside the specified age range","ALL","18 Years","65 Years",{"count":83,"type":84},1000,"ESTIMATED","INTERVENTIONAL",[87],"NA","This in vitro study aims to evaluate the accuracy of an Artificial Intelligence (AI)-based automatic design system for fixed dental prosthesis (FDP) compared with conventional computer-aided design (CAD) software. Digital scans of teeth requiring fixed dental prosthesis will be collected and used to generate prosthetic designs using two approaches: human-designed CAD restorations and AI-generated restorations.\n\nThe primary outcome is design accuracy assessed using 3D superimposition and Intersection over Union (IOU) percentage. Secondary outcomes include margin detection performance measured using F1 score, precision, and recall. A total sample size of 438 scans will be analyzed.\n\nThe study will determine whether AI-generated prosthesis designs demonstrate comparable accuracy to conventional digital designs.",[90],"Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design",[92,93,94,95,96,97,98,99],"Artificial Intelligence","CAD\u002FCAM","Fixed Dental Prosthesis","Dental Crown Design","3D Superimposition","Deep Learning","Generative Adversarial Network (GAN)","Prosthodontics","2026-02-19",{"date":102,"type":103},"2026-02-25","ACTUAL",{"date":105,"type":103},"2025-06-15",{"date":107,"type":84},"2026-06-17",{"name":5,"class":6},1]