Clinical Evaluation of AI-Generated Dental Crowns
A Clinical Research in Using Artificial Intelligence (AI) to Design Dental Crown
1 other identifier
interventional
40
1 country
1
Brief Summary
This clinical research validates a fully automatic AI algorithm for dental crown design using GANs trained on University of Hong Kong 3D prosthesis data and AI-powered FEA for stress correction, overcoming CAD/CAM limitations like manual technician time and occlusal errors. In-vitro fatigue tests confirmed performance comparable to conventional crowns. Clinically, AI-designed crowns are compared to technician CAD/CAM controls using 10 FDI criteria (aesthetic/functional/biological), assessed via oral exams, and IOS (wear), to prove feasibility and optimize the algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Sep 2022
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 5, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 7, 2025
CompletedFirst Submitted
Initial submission to the registry
April 24, 2026
CompletedFirst Posted
Study publicly available on registry
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2027
ExpectedMay 1, 2026
March 1, 2026
3.3 years
April 24, 2026
April 24, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Fracture of material or tooth and loss of retention
Primary outcome variables are the fracture of material or tooth and loss of retention. These major failures (graded as "Clinically poor - replacement necessary" on FDI criteria) are assessed by oral examination and IOS for detection of fractures, cracks, or debonding.
12 months (baseline + 6, 12months post-cementation)
Study Arms (2)
AI-designed crowns
EXPERIMENTALParticipants receive single-unit dental crowns automatically designed by a fully AI-based algorithm using Generative Adversarial Networks (GAN) trained on 3D clinical prosthesis data from the University of Hong Kong.
Conventional CAD/CAM Dental Crowns
ACTIVE COMPARATORParticipants receive single-unit dental crowns designed manually by experienced dental technicians using standard computer-aided design and computer-aided manufacturing (CAD/CAM) software and workflow (current standard of care).
Interventions
Single-unit dental crowns designed manually by experienced dental technicians using standard CAD software and fabricated using computer-aided manufacturing (CAM) methods (milling or 3D printing). This represents the current standard-of-care digital workflow for dental restorations.
Single-unit dental crowns automatically designed by a fully AI-based algorithm using Generative Adversarial Networks (GAN) trained on 3D dental prosthesis datasets from the University of Hong Kong.
Eligibility Criteria
You may qualify if:
- Both male and female patients (aged 18-60 years old) attending the HKU Faculty of Dentistry teaching clinic in Prince Philip Dental Hospital (PPDH), who are in need of single crown restorative treatment in the posterior region.
You may not qualify if:
- female patients with pregnancy; patients with any systemic diseases (e.g., uncontrolled diabetes, uncontrolled hypertension, uncontrolled osteoporosis, etc); patients with history of local irradiation therapy; patients with untreated periodontal diseases or poor oral hygiene; patients with severe bruxism or clenching habits; patients with periapical lesions in the treated teeth.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of Dentisry, the University of Hong Kong
Hong Kong, 000000, Hong Kong
Related Publications (2)
Ding H, Cui Z, Maghami E, Chen Y, Matinlinna JP, Pow EHN, Fok ASL, Burrow MF, Wang W, Tsoi JKH. Morphology and mechanical performance of dental crown designed by 3D-DCGAN. Dent Mater. 2023 Mar;39(3):320-332. doi: 10.1016/j.dental.2023.02.001. Epub 2023 Feb 21.
PMID: 36822895BACKGROUNDHickel R, Peschke A, Tyas M, Mjor I, Bayne S, Peters M, Hiller KA, Randall R, Vanherle G, Heintze SD. FDI World Dental Federation: clinical criteria for the evaluation of direct and indirect restorations-update and clinical examples. Clin Oral Investig. 2010 Aug;14(4):349-66. doi: 10.1007/s00784-010-0432-8. Epub 2010 Jul 14.
PMID: 20628774BACKGROUND
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 24, 2026
First Posted
May 1, 2026
Study Start
September 5, 2022
Primary Completion
December 7, 2025
Study Completion (Estimated)
January 31, 2027
Last Updated
May 1, 2026
Record last verified: 2026-03