ArticleJournal of Zhejiang University. Science. B2023
Development and accuracy of artificial intelligence-generated prediction of facial changes in orthodontic treatment: a scoping review.
Article in Journal of Zhejiang University. Science. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Considerations in Using Artificial Intelligence to Simulate Orthodontic Treatment for Implant-Prosthetic Purposes.Journal of clinical medicine · 2026Article
- Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets.International dental journal · 2026Article
- Evaluating the reliability of artificial intelligence in clinical decisions on early maxillary expansion: a comparative study of eight large language models.BMC oral health · 2026Article
- 3D Correspondence Between Maxillary Central Incisor Morphology and Facial Shape in Young Adults.Dentistry journal · 2026Article
- Artificial Intelligence in the Study of Root and Canal Anatomy: A Comprehensive Review on Applications, Advantages, Challenges and Future Directions.European endodontic journal · 2025Review
- Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach.Head & face medicine · 2025Article
- Three-dimensional partitioning and quantification of orthodontic root resorption via automatic root extraction from cone-beam computed tomography.BMC oral health · 2025Article
- Applications of artificial intelligence in orthodontics: a bibliometric and visual analysis.Clinical oral investigations · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic treatment planning, although its reliability has not been systematically assessed. This scoping review was conducted to outline the development of AI in terms of predicting soft-tissue changes after orthodontic treatment, as well as to comprehensively evaluate its prediction accuracy. Six electronic databases (PubMed, EBSCO
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.