Condition: Class I Malocclusion · Class II Div 1 Malocclusion · Class II Division 2 Malocclusion · Sponsor: Bezmialem Vakif University
This study explores how artificial intelligence (AI) can be used in orthodontics, which is the area of dentistry that focuses on correcting jaw and bite problems. AI is a computer technology that can learn from large amounts of data and then make predictions or decisions. It is already being tested in medicine and dentistry to help doctors and dentists diagnose conditions. For this study, the AI system was trained using photographs and X-rays from patients in Turkey. The system learned to recognize specific orthodontic skeletal malocclusions. After the training stage, the AI was tested in two groups: one group included Turkish patients whose records were not used in training, and the other group included patients from different ethnic backgrounds who were treated at a clinic in Belgium. This design allows researchers to see if the AI works equally well for people of different backgrounds. Only photographs and X-rays taken before orthodontic treatment are used in the study, and all data are anonymized so that no personal information is shared. The images must meet certain quality standards. For example the head must be in natural position, with no beards, scars, or previous orthodontic treatment that might affect the image. Patients who do not meet these criteria are not included. The AI program analyzes the profile photographs, prepares them for evaluation by adjusting and standardizing the images, and then tries to decide each patient has which malocclusion. The results f…
This description comes directly from the study's public registry record.
Aslı Eker Davut, PhD Student · 00905356173181 · aslieker95@gmail.com
Banu Kılıç, Doctor · 00905322432756 · bkilic@bezmialem.edu.tr
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| Bezmialem Vakıf University | Istanbul, Fatih, Turkey (Türkiye) | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07162753