Tooth loss is common and as consequence deteriorate patient's health and quality-of-life. Dental prostheses aim to restore patients' appearance and functions by replacement of missing teeth. The occlusal morphology and 3D position of the healthy natural teeth should be adopted by the dental prostheses (biomimetic). Despite computer-assisted design (CAD) software are available for designing dental prostheses, considerable clinical time are still required to fit the dental prostheses into patients' occlusion (teeth-to-teeth relationship). Teeth of an individual subjects are genetically controlled and exposed to mostly identical oral environment, therefore the occlusal morphology and 3D position of teeth are inter-related. It is hypothesized that artificial intelligence (AI) can automated designing the single-tooth dental prostheses from the features of remaining dentition.
Age range
18 Years
Sex
ALL
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Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
3D position of tooth
Timeframe: Outcome will be measured when 25% of training models were studied by AI, up to 6 months
3D position of tooth
Timeframe: Outcome will be measured when 50% of training models were studied by AI, up to 12 months
3D position of tooth
Timeframe: Outcome will be measured when 75% of training models were studied by AI, up to 18 months
3D position of tooth
Timeframe: Outcome will be measured after the whole training, which AI was trained of 100% of all models, up to 24 months
Occlusal morphology of tooth
Timeframe: Outcome will be measured when 25% of training models were studied by AI, up to 6 months
Occlusal morphology of tooth
Timeframe: Outcome will be measured when 50% of training models were studied by AI, up to 12 months
Occlusal morphology of tooth
Timeframe: Outcome will be measured when 75% of training models were studied by AI, upto 18 months
Occlusal morphology of tooth
Timeframe: Outcome will be measured after the whole training, which AI was trained of 100% of all models, upto 24 months
Time spent in laboratory design and in clinical deliver of denture prostheses
Timeframe: Outcome will be measured after the whole training, which AI was trained of 100% of all models, upto 24 months