Non-Cochrane · intervention · PM42271364

The application of artificial intelligence in the field of dental restoration for designing dental crowns: a meta-analysis.

Hu Jiaxuan, Bai Binding, Wang Yuzhou, et al. · BMC oral health · 2026 · PubMed · doi:10.1186/s12903-026-08680-1

Findings

Population Dental crowns (in vitro)

4 findings

AI-designed dental crownsTraditional CAD-based dental crownsOcclusal accuracyMD -67.39 [-132.36, -2.42]
GRADE not reported
3 studies · 106 participants
AI-designed dental crownsTraditional CAD-based dental crownsDesign timeMD -289.03 [-450.18, -127.88]
GRADE not reported
5 studies · 256 participants
AI-designed dental crownsTraditional CAD-based dental crownsOcclusal morphology discrepancyMD -0.02 [-0.06, 0.02]
GRADE not reported
4 studies · 176 participants
AI-designed dental crownsTraditional CAD-based dental crownsCusp angleMD 3.31 [1.12, 5.5]
GRADE not reported
3 studies · 108 participants

Included primary studies 11

Open in Studies
StudyYearAlso included byOutcomes it informs hereTrial data
Chen 2022
Morphology and fracture behavior of lithium disilicate dental crowns designed by human and knowledge-based AI.
PMID:35508087
20221 other reviewOcclusal morphology discrepancy; Cusp anglenot extracted yet
Cho 2024
Tooth morphology, internal fit, occlusion and proximal contacts of dental crowns designed by deep learning-based dental software: A…
PMID:38163455
20241 other reviewCusp anglenot extracted yet
Ding 2023
Morphology and mechanical performance of dental crown designed by 3D-DCGAN.
PMID:36822895
20231 other reviewCusp anglenot extracted yet
Liu CM 2025
Evaluation of the accuracy, occlusal contact and clinical applications of zirconia crowns using artificial intelligence design versus…
PMID:40654460
20251 other reviewOcclusal accuracynot extracted yet
Nagata 2025
Verification of the accuracy and design time of crowns designed with artificial intelligence.
PMID:40061025
20251 other reviewDesign time; Occlusal accuracynot extracted yet
Wu 2025
Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study.
PMID:39069456
20251 other reviewDesign time; Occlusal accuracynot extracted yet
Ender 2011
Efficiency of a mathematical model in generating CAD/CAM-partial crowns with natural tooth morphology.
PMID:20143242
2011this review onlyDesign timenot extracted yet
Kollmuss 2013
Comparison of biogenerically reconstructed and waxed-up complete occlusal surfaces with respect to the original tooth morphology.
PMID:22580927
2013this review onlyOcclusal morphology discrepancynot extracted yet
Kollmuss 2016
Comparison of chairside and laboratory CAD/CAM to conventional produced all-ceramic crowns regarding morphology, occlusion, and aesthetics.
PMID:26245275
2016this review onlyOcclusal morphology discrepancynot extracted yet
Litzenburger 2013
Fully automatic CAD design of the occlusal morphology of partial crowns compared to dental technicians' design.
PMID:22451342
2013this review onlyOcclusal morphology discrepancynot extracted yet
Liu CM 2024
Evaluation of the efficiency, trueness, and clinical application of novel artificial intelligence design for dental crown prostheses.
PMID:37858418
2024this review onlyDesign timenot extracted yet

Overlap with other reviews

Reviews that include the same primary studies are not independent evidence. Shared counts match studies by PMID, DOI or NCT, and otherwise by author and year (a probable match). Only the non-Cochrane dental reviews have study lists, so overlap with Cochrane reviews is not counted yet.

Review question

ElementPlanned (methods)Found (results)
PopulationDental crownsDental crowns (in vitro; n=12 studies)
InterventionAI-designed dental crownsAI-designed dental crowns
ComparisonTraditional CAD-based dental crownsTraditional CAD-based dental crowns
OutcomesDesign time; occlusal morphology discrepancy; occlusal accuracy; cusp angleDesign time (5 studies); occlusal morphology discrepancy (4); occlusal accuracy (3); cusp angle (3)
Study designsIn vitro studiesIn vitro studies (n=12)
TimingNot specifiedNot specified

AMSTAR 2 items

Two independent extractors rated each item. Their ratings are shown side by side because they have not been reconciled yet. The overall rating follows Shea et al. 2017: one critical flaw gives Low, more than one gives Critically Low.

ItemExtractor AExtractor BAgree
1Research question includes PICO componentsYesYesyes
2Protocol established before the reviewcriticalPartial YesPartial Yesyes
3Choice of study designs explainedNoNoyes
4Comprehensive literature searchcriticalNoPartial Yesno
5Study selection in duplicateYesYesyes
6Data extraction in duplicateYesYesyes
7List of excluded studies with reasonscriticalNoNoyes
8Included studies described in detailNoNoyes
9Risk of bias assessed satisfactorilycriticalNRSI: Partial Yes · RCT: N/ANRSI: Partial Yes · RCT: N/Ayes
10Funding of included studies reportedNoNoyes
11Appropriate meta-analysis methodscriticalRCT: N/A · NRSI: NoNRSI: Yes · RCT: N/Ano
12Impact of risk of bias on the pooled resultsNoNoyes
13Risk of bias accounted for in interpretationcriticalNoNoyes
14Heterogeneity explainedYesYesyes
15Publication bias investigatedcriticalNoNoyes
16Conflicts of interest reportedYesYesyes
OverallCritically LowCritically Lowyes