ArticleOral radiology2021
A brief introduction to concepts and applications of artificial intelligence in dental imaging.
Article in Oral radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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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
23 citing papers in PubMed.
- Evaluating the Artificial Intelligence Driven Monitoring System Notifications: Clear Aligner and Oral Hygiene Perspectives.Orthodontics & craniofacial research · 2026Article
- Impacts of artificial intelligence on computed tomography in endodontics: an integrative review.BMC oral health · 2026Review
- Knowledge and awareness of dental residents regarding the applications of artificial intelligence for diagnosis and treatment planning- a cross-sectional survey.BMC oral health · 2026Article
- Digital Dental Radiology and Diagnostics-From 2D to 3D.Australian dental journal · 2025Review
- AI in Dentistry: Innovations, Ethical Considerations, and Integration Barriers.Bioengineering (Basel, Switzerland) · 2025Review
- Artificial intelligence in dental radiology: a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Charting the growth through intelligence: A SWOC analysis on AI-assisted radiologic bone age estimation.International journal of legal medicine · 2025Review
- Pano-GAN: A Deep Generative Model for Panoramic Dental Radiographs.Journal of imaging · 2025Article
- Unveiling the power of artificial intelligence for image-based diagnosis and treatment in endodontics: An ally or adversary?International endodontic journal · 2025Review
- Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles.Dento maxillo facial radiology · 2025Article
- Traditional and Artificial Intelligent Methods in Predicting Maxillofacial Soft Tissue Morphology After Orthognathic Surgery: A Narrative Review.International journal of dentistry · 2025Review
- Perceptiveness and Attitude on the use of Artificial Intelligence (AI) in Dentistry among Dentists and Non-Dentists - A Regional Survey.Journal of pharmacy & bioallied sciences · 2024Article
- Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Deep learning-based registration of two-dimensional dental images with edge specific loss.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Prediction of the as Low as Diagnostically Acceptable CT Dose for Identification of the Inferior Alveolar Canal Using 3D Convolutional Neural Networks with Multi-Balancing Strategies.Diagnostics (Basel, Switzerland) · 2023Article
- Developments and Performance of Artificial Intelligence Models Designed for Application in Endodontics: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Contemporary Role and Applications of Artificial Intelligence in Dentistry.F1000Research · 2023Review
- Can GPT-4 be a viable alternative for discussing complex cases in digital oral radiology? A critical analysis.EXCLI journal · 2023Article
- A dose-neutral image quality comparison of different CBCT and CT systems using paranasal sinus imaging protocols and phantoms.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022Article
- Artificial intelligence-based diagnostics of molar-incisor-hypomineralization (MIH) on intraoral photographs.Clinical oral investigations · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This report aims to summarize the fundamental concepts of Artificial Intelligence (AI), and to provide a non-exhaustive overview of AI applications in dental imaging, comprising diagnostics, forensics, image processing and image reconstruction. AI has arguably become the hottest topic in radiology in recent years owing to the increased computational power available to researchers, the continuing collection of digital data, as well as the development of highly efficient algorithms for machine learning and deep learning. It is now feasible to develop highly robust AI applications that make use of the vast amount of data available to us, and that keep learning and improving over time.
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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.