ReviewOrthodontics & craniofacial research2021
Clinical decision support systems in orthodontics: A narrative review of data science approaches.
Review in Orthodontics & craniofacial research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI in orthodontic treatment planning: a systematic review comparing learning approaches.BMC oral health · 2026Pooled it
- Accuracy of artificial intelligence for tooth extraction decision-making in orthodontics: a systematic review and meta-analysis.Clinical oral investigations · 2022Pooled it
- Randomized controlled trial comparing AI-assisted digital and conventional orthodontics: Superior PAR reduction and occlusal outcomes.PloS one · 2026Trial
- Hybrid deep learning-based prognostic classification of maxillary canine impaction on panoramic radiographs.Oral radiology · 2026Article
- Applications of Artificial Intelligence in Dental Medicine: A Critical Review.International dental journal · 2025Review
- Diagnostic accuracy of artificial intelligence in determining extraction protocol in orthodontic patients: A systematic review.Journal of orthodontic science · 2025Review
- Digitization and validation of the open bite checklist manifesto: a step toward artificial intelligence.The Angle orthodontist · 2024Article
- Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information.Medical image computing and computer assisted intervention - MICCAI 2023 workshops : ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, proceedings · 2023Article
- A Comprehensive Review of Artificial Intelligence Based Algorithms Regarding Temporomandibular Joint Related Diseases.Diagnostics (Basel, Switzerland) · 2023Review
- Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment.Healthcare (Basel, Switzerland) · 2023Review
- Decoding Deep Learning applications for diagnosis and treatment planning.Dental press journal of orthodontics · 2023Article
- Machine Learning Predictive Model as Clinical Decision Support System in Orthodontic Treatment Planning.Dentistry journal · 2022Article
- Three-dimensional digital applications for implant space planning in orthodontics: A narrative review.Journal of the World federation of orthodontists · 2022Review
- The Forefront of Dentistry-Promising Tech-Innovations and New Treatments.JDR clinical and translational research · 2022Article
- Complexity and data mining in dental research: A network medicine perspective on interceptive orthodontics.Orthodontics & craniofacial research · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (c) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.
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.