ArticleJournal of dental sciences2025
Evaluation of the accuracy, occlusal contact and clinical applications of zirconia crowns using artificial intelligence design versus human design.
Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The application of artificial intelligence in the field of dental restoration for designing dental crowns: a meta-analysis.BMC oral health · 2026Pooled it
- A Systematic Review of the Accuracy of Crowns Designed Using Artificial Intelligence Versus CAD/CAM and Traditional Methods.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Mapping the Influence of Artificial Intelligence in Prosthodontics: A Scoping Review of the Current Trends and Challenges.Dentistry journal · 2026Review
- The impact of artificial intelligence evolution on the dental morphology sculpting education.Journal of dental sciences · 2026Article
- A visualized AI-assisted framework for pre-surgical evaluation of implant pathways on periapical radiographs.Journal of dental sciences · 2026Article
- Accuracy and Functional Performance of Artificial Intelligence-Based Automated Crown Design Systems: A Systematic Review and Meta-Analysis.Biomedical engineering and computational biology · 2026Review
- Digital workflow for full-arch immediate loading: Dynamic navigation and 3D printing fixed dental prostheses.Journal of dental sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/purpose: The uniqueness of human teeth necessitated that dental restorations be customized primarily through extensive manual labor. Therefore, this study explored the potential of AI designed dental restorations for clinical applications. Materials and methods: Digital artificial design and AI design crown restorations were replicated 10 times, for a total of 20 samples. The zirconia crown restoration was completed by strengthening and glazing according to standard clinical procedures. Samples were digitally archived using a dental scanner to assess reproducibility, precision, and occlusion. The human trial portion included natural tooth preparations by clinical standards. Three participants each designed two crowns, resulting in a total of six crowns. Dental x-rays were used for image evaluation. Results: The 3D accuracy showed that stereolithography (STL) and scan files of the AI design group were 3.4 and 6.6 times lower than the digital group, respectively ( Conclusion: Clinical images indicate that the shape, precision, and space of AI designed crowns are comparable to those of digitally designed crowns. Despite the spatial differences in contact between AI designed and digitally designed crowns, the in vivo and in vitro test results demonstrated favorable realism and contact quality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.