ArticleTheScientificWorldJournal2023
The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence.
Article in TheScientificWorldJournal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- Present and Future of the Use of Artificial Intelligence in Orthodontics.Bioengineering (Basel, Switzerland) · 2026Review
- AI-Generated vs. Traditional STL Models in CBCT Imaging: A Pilot Study on Measurements Accuracy and Reliability.Journal of imaging informatics in medicine · 2026Article
- Evaluation of Arch Dimensions and Bolton Ratio in Manual and Artificial Intelligence Tooth Segmentation.TheScientificWorldJournal · 2026Article
- Applications of artificial intelligence in diagnosis and treatment planning of orthodontics: a narrative review.The Saudi dental journal · 2025Review
- Automated Cone Beam Computed Tomography Segmentation of Multiple Impacted Teeth With or Without Association to Rare Diseases: Evaluation of Four Deep Learning-Based Methods.Orthodontics & craniofacial research · 2025Article
- Review
- Three-dimensional partitioning and quantification of orthodontic root resorption via automatic root extraction from cone-beam computed tomography.BMC oral health · 2025Article
- Novel AI-based tool for primary tooth segmentation on CBCT using convolutional neural networks: A validation study.International journal of paediatric dentistry · 2025Article
- Comparison of AI-assisted cephalometric analysis and orthodontist-performed digital tracing analysis.Progress in orthodontics · 2024Article
- Article
- Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation.Journal of endodontics · 2024Article
- Do the Various Indirect Bonding Techniques Provide the Same Accuracy for Orthodontic Bracket Placement? (Randomized Clinical Trial).International journal of dentistry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed at evaluating the precision of the segmented tooth model (STM) that was produced by the artificial intelligence (AI) program (CephX®) with an intraoral scan (IOS) and insignia outcomes.
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.