Facial prediction technology for patients without teeth
Official title: Research on Facial Prediction Technology for Edentulous Implant-Supported Fixed Prostheses Based on Multimodal Data Fusion
Run by KU Leuven · NCT06080633 · Data updated 2026-11-12
This study is testing a new technology to see if it can help predict how a person's face will change after getting dental implants, specifically for people over 50 who don't have any teeth.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years to 100 Years |
| Sex | All |
| Enrollment | 24 (estimated) |
| Sponsor | KU Leuven Academic / other |
| Locations | 1 site (Leuven, Heverlee) |
| Status | Recruiting |
| Started | June 1, 2023 |
| Main results expected | December 1, 2025 |
| Study ends | December 1, 2026 |
| Registry record updated | June 13, 2024 |
| Trial ID | NCT06080633 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals aged 50 and above who are completely edentulous and in good physical health.
✕Probably not a fit
Patients who refuse to participate or are unable to undergo facial scanning will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on edentulous patients, particularly those aged 50 and above, to explore the use of deep learning technology in predicting facial contour changes after dental implant placement. By establishing a multi-modal dataset, the study aims to enhance the understanding of how facial appearance can be improved post-surgery, addressing both functional and aesthetic concerns of patients. The research leverages advancements in artificial intelligence to provide insights that were previously unattainable due to technological limitations.
Why it matters
Potential benefit: If successful, this study could significantly improve the quality of life for edentulous patients by providing predictive insights into facial aesthetics after dental implants.
How similar studies have gone: While the use of deep learning in facial prediction is a novel approach, similar studies have shown promise in related fields, indicating potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with complete edentulism, * aged 50 years or above, * in good physical health, Exclusion Criteria: * patients who refuse to participate in the study， * patients who cannot undergo facial scanning.
Where it's running
-
Hongyang Ma
Leuven, Heverlee, Belgium Recruiting
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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This study will test whether placing short dental implants right after removing a single tooth in patients with limited bone provides solid support and healthy gum and bone healing.
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This study is testing whether a new way to attach dentures can help people without teeth keep their jawbone healthy better than the traditional method.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.