ReviewCureus2025
Facial Scans in Clinical Dentistry and Related Research: A Scoping Review.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Bridging the Implementation Gap: Artificial Intelligence in Periodontology from Proof-of-Concept to Clinical Governance-A Systematic Scoping Review with Evidence from Kazakhstan.Dentistry journal · 2026Review
- Artificial intelligence for facial attractiveness assessment in orthodontics: model development and evaluation.European journal of orthodontics · 2026Article
- Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care.International dental journal · 2026Review
- Correlation of Facial Form with Temporomandibular Joint-Space Dimensions: A CBCT-Based Cross-Sectional Study.Dentistry journal · 2026Article
- A Comparative Accuracy Study of Nasal Soft Tissue Measurements Using a 3D Facial Scanner and Conventional Methods.International journal of dentistry · 2026Article
- Feasibility and clinical utility of digital anthropometry for precise assessment of outcomes after post-bariatric reconstructive plastic surgery.Frontiers in surgery · 2026Article
- Advanced 3D Facial Scanning in Orthodontics: A Correlative Analysis of Craniofacial Anthropometric Parameters.Journal of clinical medicine · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This scoping review examined the adoption of three-dimensional (3D) facial scanning technology in clinical dentistry, focusing on the range of scanning techniques, clinical applications, and related implementation trends. A systematic literature search of three major databases identified studies published between January 2020 and June 2024 that described 3D facial scanning of human participants in clinical dental settings. After screening 224 records, 48 from 19 countries met the inclusion criteria. Both clinical studies and case/technical reports showed that facial scanning was used in multiple specialties, including orthodontics, prosthodontics, and maxillofacial surgery, primarily for diagnosis, treatment planning, and outcome assessment. The technologies such as stereophotogrammetry, structured light scanning, laser scanning, and mobile device-based solutions vary in accuracy and ease of integration. Mobile scanning, in particular, is growing in importance due to lower cost, accessibility, and compatibility with digital workflows. Despite these advances, standardized protocols for integrating facial scans with other digital records, such as cone beam computed tomography and intraoral scans, remain underdeveloped. This review demonstrates the growing importance of 3D facial scanning in improving clinician-patient communication and identifies areas where further research is needed, including long-term validation, cost-effectiveness, and standardized data management.
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.