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Clinical Evaluation of AI-Generated Dental Crowns
Sponsor: The University of Hong Kong
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.
Official title: A Clinical Research in Using Artificial Intelligence (AI) to Design Dental Crown
Key Details
Gender
All
Age Range
18 Years - 60 Years
Study Type
INTERVENTIONAL
Enrollment
40
Start Date
2022-09-05
Completion Date
2027-01-31
Last Updated
2026-05-01
Healthy Volunteers
No
Conditions
Interventions
Conventional CAD/CAM Dental Crowns
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.
AI-Designed Dental Crowns
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.
Locations (1)
Faculty of Dentisry, the University of Hong Kong
Hong Kong, Hong Kong