[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100595033":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":24,"locations":25,"responsibleParty":52,"collaborators":54,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":64,"eligibilityCriteria":65,"healthyVolunteers":66,"sex":67,"minAge":24,"maxAge":24,"enrollmentInfo":68,"targetDuration":24,"studyType":71,"phases":72,"briefSummary":74,"conditions":75,"keywords":78,"overallStatus":84,"whyStopped":24,"lastUpdateSubmitDate":85,"lastUpdatePostDateStruct":86,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":94},{"fullName":5,"class":6},"Radboud University Medical Center","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Phase 1: Caries detection without AI, Phase 2: Caries detection with AI","ACTIVE_COMPARATOR","In this group participants will examine caries lesions on the radiographs without AI support first. Then, after a wash-out period of one month, all participants will re-examine the same radiographs with AI.",[13],"Diagnostic Test: Artificial intelligence in diagnosis",{"label":15,"type":10,"description":16,"interventionNames":17},"Phase 1: Caries detection with AI, Phase 2: Caries detection without AI","In this group participants will examine caries lesions on the radiographs with AI support first. Then, after a wash-out period of one month, all participants will re-examine the same radiographs without AI.",[13],[19],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":24},"DIAGNOSTIC_TEST","Artificial intelligence in diagnosis","AI-based diagnostic programs have proved to enhance diagnostic performance, however research on its effects on treatment decisions is scarce. In contrast to other studies focusing on AI's accuracy or the resulting increase in dentists' accuracy, this study aims to investigate the differences in dentists' treatment recommendations when supported by AI versus when they are not during caries detection.",[15,9],null,[26],{"facility":27,"status":24,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"Department of Dentistry Radboud Uniersity Medical Center","Nijmegen","Gelderland","6525 EX","Netherlands","NL",{"type":34,"coordinates":35},"Point",[36,37],5.85278,51.8425,{"lat":37,"lon":36},[40,45,48,51],{"name":41,"role":42,"phone":43,"phoneExt":24,"email":44},"Dilek Sezen-Hulsmans, Dentist","CONTACT","00491708975313","dilek.sezen-hulsmans@radboudumc.nl",{"name":46,"role":42,"phone":24,"phoneExt":24,"email":47},"Dr. Cenci","Max.Cenci@radboudumc.nl",{"name":49,"role":50,"phone":24,"phoneExt":24,"email":24},"Dilek Sezen-Hulsmans, Dental Medical Doctor","PRINCIPAL_INVESTIGATOR",{"name":46,"role":50,"phone":24,"phoneExt":24,"email":24},{"type":53,"investigatorFullName":24,"investigatorTitle":24,"investigatorAffiliation":24,"oldNameTitle":24,"oldOrganization":24},"SPONSOR",[55],{"name":56,"class":57},"Prime Dental Alliance Eindhoven","UNKNOWN","100595033","the-impact-of-artificial-intelligence-on-dentists-decision-making-process-during-caries-detection-100595033",false,"NCT07027189","The Impact of Artificial Intelligence on Dentists' Decision-Making Process During Caries Detection","DECIDE-AI:The Impact of Artificial Intelligence on Dentists' Decision-Making Process During Caries Detection: A Randomized Controlled Study","DECIDE-AI","Inclusion Criteria:\n\n1. Graduated, practising dentists.\n2. At least three years of experience\n\nExclusion Criteria:\n\n1. Retired dentists.\n2. Specialized practitioners (e.g., orthodontists and oral surgeons) if their typical practice does not involve routine caries diagnostics and treatment planning.",true,"ALL",{"count":69,"type":70},25,"ESTIMATED","INTERVENTIONAL",[73],"NA","This study aims to evaluate the influence of artificial intelligence (AI) on the decision-making process for intervention after caries lesion detection. Participants will be dentists working in the Netherlands randomly divided into two groups. Dentists will be divided into two groups and receive a set of bitewing radiographs, which first will be evaluated with or without AI support according to their group. Participants will examine caries lesions on the radiographs and formulate treatment plans accordingly. Then, after a wash-out period of one month, the same radiographs, but in the opposite condition of AI support and again formulate treatment suggestions according to the present caries lesions.",[76,77],"Artificial Intelligence (AI) in Diagnosis","Artificial Intelligence Supported Image Reviewing",[79,80,81,82,83],"Artificial Intelligence","Caries Detection","Decision-making","Dental Imaging","Treatment Planning","NOT_YET_RECRUITING","2025-06-10",{"date":87,"type":88},"2025-06-18","ACTUAL",{"date":90,"type":70},"2025-10-02",{"date":92,"type":70},"2026-06-02",{"name":5,"class":6},1]