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A Study on AI-Driven Facial Prediction and Occlusal Rim Design for Edentulous Patients

A Study on AI-Driven Facial Prediction and Occlusal Rim Design for Edentulous Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600128185
Enrollment
Unknown
Registered
2026-07-15
Start date
2026-07-20
Completion date
Unknown
Last updated
2026-07-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Edentulism

Interventions

Research 3:Part 1: Patients serve as their own controls. The test group uses smart prediction dentures made with key parameters generated by this study’s deep learning approach, while the control grou
Research 1/2:None

Sponsors

Peking University Hospital of Stomatology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Research 1/2(1)Age: 20–80 years (2)Completely edentulous in both the maxillary and mandibular (3)Full mouth rehabilitation (implant-supported fixed dental prostheses, implant-supported overdentures, or complete dentures ) fabricated by a prosthodontist with >20 years of experience (4) Patient-reported satisfaction with the denture outcome; 2.Research 3(1)Age: 20–70 years (2)Completely edentulous in both the maxillary and mandibular (3)Full mouth rehabilitation (implant-supported fixed dental prostheses, implant-supported overdentures, or complete dentures ) fabricated by a prosthodontist with >20 years of experience (4) Patient-reported satisfaction with the denture outcome (5) Good patient compliance (6) Informed consent obtained from the patient;

Exclusion criteria

Exclusion criteria: 1.Research 1/2(1) facial asymmetry (2) Maxillofacial defects (3) Moderate-to-severe wear or damage to the existing denture (4) Existing denture worn >5 years (5) Incorrect jaw relationship of the existing denture (6) Insufficient rehabilitation of facial fullness; 2.Research 3(1) facial asymmetry (2) Maxillofacial defects (3) Moderate-to-severe wear or damage to the existing denture (4) Existing denture worn >5 years (5) Incorrect jaw relationship of the existing denture (6) Insufficient rehabilitation of facial fullness (7)Systemic diseases or other factors that interfere with cooperation during occlusal rim fabrication;

Design outcomes

Primary

MeasureTime frame
Facial rehabilitation outcome differences: intelligent predictive vs. novice fabricated occlusal rims.;

Secondary

MeasureTime frame
Positional deviation between the predicted values and the ground truth.;Evaluation of 3D facial data reconstruction in completely edentulous patients;Evaluation of predicted facial appearance outcomes after prosthodontic rehabilitation.;Three-dimensional analysis of facial changes before and after rehabilitation;Linear deviations of key landmarks between the two types of occlusal rims.;Evaluation of patient satisfaction following full mouth rehabilitation using intelligent predictive occlusal rims.;Morphological differences in the labial surface between intelligent predictive occlusal rims and novice?fabricated occlusal rims.;Agreement between model?predicted values and ground truth.;

Countries

China

Contacts

Public ContactShaoxia Pan

Peking University Hospital of Stomatology

panshaoxia@vip.163.com+86 10 8219 5393

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026