Clinical Evaluation of AI-Generated Dental Crowns
A Clinical Research in Using Artificial Intelligence (AI) to Design Dental Crown
A Clinical Research in Using Artificial Intelligence (AI) to Design Dental Crown
Sponsor study identifier
interventional
40
1 country
1
Study Start
September 5, 2022
Actual (reported)Primary Completion
December 7, 2025
Actual (reported)Study Completion
January 31, 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
January 31, 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
September 5, 2022
Actual (reported)December 7, 2025
Actual (reported)April 24, 2026
Actual (reported)May 1, 2026
Actual (reported)January 31, 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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)
Participants 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.
Participants 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).
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.
Faculty of Dentisry, the University of Hong Kong
Hong Kong, 000000, Hong Kong
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.
Hickel 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.
40 participants (actual enrollment reported by the registry).
First Submitted
April 24, 2026
First Posted
May 1, 2026
Study Start
September 5, 2022
Actual (reported)Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
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Primary Completion
December 7, 2025
Actual (reported)Study Completion
January 31, 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Last Updated
May 1, 2026
Record last verified: 2026-03
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Source: ClinicalTrials.gov.
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