ArticleProceedings of SPIE--the International Society for Optical Engineering2019
Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Comparing Traditional Versus AI-Assisted TMJ Disorder Management Approaches: A Systematic Review and Meta-Analysis.Clinical and experimental dental research · 2026Pooled it
- Pooled it
- Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis.PloS one · 2022Pooled it
- CBCT assisted diagnosis system for temporomandibular joint disc displacement based on deep learning.Progress in orthodontics · 2026Article
- Application of artificial intelligence in the diagnosis and management of temporomandibular joint osteoarthritis using cone-beam computed tomography: An evidence-based systematic review.Imaging science in dentistry · 2025Review
- Radiomics signature of osteoarthritis: Current status and perspective.Journal of orthopaedic translation · 2024Review
- Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders-a comprehensive review.International journal of oral science · 2023Review
- Orthodontic Implementation of Machine Learning Algorithms for Predicting Some Linear Dental Arch Measurements and Preventing Anterior Segment Malocclusion: A Prospective Study.Medicina (Kaunas, Lithuania) · 2023Article
- A Comprehensive Review of Artificial Intelligence Based Algorithms Regarding Temporomandibular Joint Related Diseases.Diagnostics (Basel, Switzerland) · 2023Review
- The Application of Deep Learning on CBCT in Dentistry.Diagnostics (Basel, Switzerland) · 2023Review
- Artificial Intelligence in Dentistry-Narrative Review.International journal of environmental research and public health · 2022Review
- Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning.Scientific reports · 2022Article
- Clinical decision support systems in orthodontics: A narrative review of data science approaches.Orthodontics & craniofacial research · 2021Review
- Applications of artificial intelligence and machine learning in orthodontics: a scoping review.Progress in orthodontics · 2021Article
- Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications.Seminars in orthodontics · 2021Article
- FlyBy CNN: A 3D surface segmentation framework.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Patient Specific Classification of Dental Root Canal and Crown Shape.Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
We developed a deep learning neural network, the Shape Variation Analyzer (SVA), that allows disease staging of bony changes in temporomandibular joint (TMJ) osteoarthritis (OA). The sample was composed of 259 TMJ CBCT scans for the training set and 34 for the testing dataset. The 3D meshes had been previously classified in 6 groups by 2 expert clinicians. We improved the robustness of the training data using data augmentation, SMOTE, to alleviate over-fitting and to balance classes. We combined geometrical features and a shape descriptor, heat kernel signature, to describe every shape. The results were compared to nine different supervised machine learning algorithms. The deep learning neural network was the most accurate for classification of TMJ OA. In conclusion, SVA is a 3D Sheer extension that classifies pathology of the temporomandibular joint osteoarthritis cases based on 3D morphology.
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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.