ReviewDiagnostics (Basel, Switzerland)2023
Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Artificial-Intelligence-Based Cephalometric Landmark Detection in Lateral Cephalograms.Journal of clinical medicine · 2026Article
- Charting the artificial intelligence revolution in orthodontics : A bibliometric analysis of key players, collaborations, and research directions.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026Review
- Evaluation of artificial intelligence-based cephalometric analysis compared to the manual method.Progress in orthodontics · 2026Article
- Comparative performance analysis of AI-based large language models in assessing cervical vertebral maturation stages on lateral cephalometric radiographs.BMC oral health · 2026Article
- Evaluation of cephalometric landmarks using artificial intelligence compared to the manual method.Head & face medicine · 2026Article
- A YOLOv12-based approach for automatic detection of cephalometric landmarks on 2D lateral skull X-ray images.Scientific reports · 2026Article
- Lateral Cephalometric Radiography: Principles, Common Positioning Errors, and AI-Driven Quality Control.Diagnostics (Basel, Switzerland) · 2026Review
- An Open-Source, AI-Supported Teaching Tool in Orthodontic Education-Assessment of Acceptance and Effectiveness.Journal of dental education · 2025Article
- Evaluation of an Automatic Cephalometric Superimposition Method Based on Feature Matching.Journal of imaging informatics in medicine · 2025Article
- A deep learning framework for automated dental segmentation and diagnostic report generation from cone-beam computed tomography.Head & face medicine · 2025Article
- Comparison of the reliability of ANB Sar and W measurements used in cephalometric diagnostics for the assessment of sagittal discrepancy.Scientific reports · 2025Article
- Classification Performance of Deep Learning Models for the Assessment of Vertical Dimension on Lateral Cephalometric Radiographs.Diagnostics (Basel, Switzerland) · 2025Article
- Selected Indicators Used in Cephalometric Analysis and Their Predictive Value in Defining Sagittal Discrepancy Malocclusions: A Comparative Study.Journal of clinical medicine · 2025Article
- Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements.Diagnostics (Basel, Switzerland) · 2025Article
- Comparison of the Repeatability and Reproducibility Levels of ANB, Tau and Yen Angle Measurements Used in Cephalometric Diagnostics in the Assessment of Sagittal Discrepancy: A Comparative Study.Journal of clinical medicine · 2025Article
- Reliability of Zagreb 82 MOD Cephalometric Assessment in Determining the Facial Growth Pattern.Acta stomatologica Croatica · 2025Article
- Artificial Intelligence-Supported and App-Aided Cephalometric Analysis: Which One Can We Trust?Diagnostics (Basel, Switzerland) · 2025Article
- Effectiveness of AI-generated orthodontic treatment plans compared to expert orthodontist recommendations: a cross-sectional pilot study.Dental press journal of orthodontics · 2025Observational
- The Accuracy of Algorithms Used by Artificial Intelligence in Cephalometric Points Detection: A Systematic Review.Bioengineering (Basel, Switzerland) · 2024Review
- Using AI in Optimizing Oral and Dental Diagnoses-A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
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
In recent years, the application of artificial intelligence (AI) has become more and more widespread in medicine and dentistry. It may contribute to improved quality of health care as diagnostic methods are getting more accurate and diagnostic errors are rarer in daily medical practice. The aim of this paper was to present data from the literature on the effectiveness of AI in orthodontic diagnostics based on the analysis of lateral cephalometric radiographs. A review of the literature from 2009 to 2023 has been performed using PubMed, Medline, Scopus and Dentistry & Oral Sciences Source databases. The accuracy of determining cephalometric landmarks using widely available commercial AI-based software and advanced AI algorithms was presented and discussed. Most AI algorithms used for the automated positioning of landmarks on cephalometric radiographs had relatively high accuracy. At the same time, the effectiveness of using AI in cephalometry varies depending on the algorithm or the application type, which has to be accounted for during the interpretation of the results. In conclusion, artificial intelligence is a promising tool that facilitates the identification of cephalometric landmarks in everyday clinical practice, may support orthodontic treatment planning for less experienced clinicians and shorten radiological examination in orthodontics. In the future, AI algorithms used for the automated localisation of cephalometric landmarks may be more accurate than manual analysis.
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.