ArticlePeerJ2021
Machine learning in dental, oral and craniofacial imaging: a review of recent progress.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis 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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Deep Learning in Dental Imaging: Advances, Challenges, and Future.Oral radiology · 2026Review
- Smartphone 3D Scanning Technology and 3D Semi-Synthetic Data for Processing Infant Head Deformities Using Artificial Intelligence.Sensors (Basel, Switzerland) · 2026Article
- Reproducibility of AI in Cephalometric Landmark Detection: A Preliminary Study.Diagnostics (Basel, Switzerland) · 2025Article
- Clinical application of deep learning for enhanced multistage caries detection in panoramic radiographs.Scientific reports · 2025Article
- Explainable CNN-Radiomics Fusion and Ensemble Learning for Multimodal Lesion Classification in Dental Radiographs.Diagnostics (Basel, Switzerland) · 2025Article
- Toward Precision Diagnosis of Maxillofacial Pathologies by Artificial Intelligence Algorithms: A Systematic Review.Journal of maxillofacial and oral surgery · 2025Review
- Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Artificial intelligence in dental radiology: a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Application of machine learning in dentistry: insights, prospects and challenges.Acta odontologica Scandinavica · 2025Review
- Data-driven AI platform for dens evaginatus detection on orthodontic intraoral photographs.BMC oral health · 2025Article
- Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study.Dento maxillo facial radiology · 2025Article
- A Deep Learning Framework for Automated Classification and Archiving of Orthodontic Diagnostic Documents.Cureus · 2024Article
- Artificial intelligence application in endodontics: A narrative review.Imaging science in dentistry · 2024Review
- A multimodal dental dataset facilitating machine learning research and clinic services.Scientific data · 2024Article
- Biological biomarkers of oral cancer.Periodontology 2000 · 2024Review
- Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms.Oral radiology · 2024Article
- The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging.Diagnostics (Basel, Switzerland) · 2024Article
- Applying machine learning to assess the morphology of sculpted teeth.Journal of dental sciences · 2024Article
- Oral Cancer Prediction Using a Probability Neural Network (PNN).Asian Pacific journal of cancer prevention : APJCP · 2023Article
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
Artificial intelligence has been emerging as an increasingly important aspect of our daily lives and is widely applied in medical science. One major application of artificial intelligence in medical science is medical imaging. As a major component of artificial intelligence, many machine learning models are applied in medical diagnosis and treatment with the advancement of technology and medical imaging facilities. The popularity of convolutional neural network in dental, oral and craniofacial imaging is heightening, as it has been continually applied to a broader spectrum of scientific studies. Our manuscript reviews the fundamental principles and rationales behind machine learning, and summarizes its research progress and its recent applications specifically in dental, oral and craniofacial imaging. It also reviews the problems that remain to be resolved and evaluates the prospect of the future development of this field of scientific study.
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.