ReviewCureus2022
Artificial Intelligence in Dentistry: Past, Present, and Future.
Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 3 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
107 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Application of Artificial Intelligence Models in Oral and Maxillofacial Prosthesis Restoration: A Systematic Review.International dental journal · 2025Pooled it
- Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis.Head & face medicine · 2025Pooled it
- Development of Artificial Intelligence Models for Tooth Numbering and Detection: A Systematic Review.International dental journal · 2024Pooled it
- Integration of artificial intelligence in public health dentistry: applications, challenges, and future directions - a scoping review.The Saudi dental journal · 2026Review
- Educational gaps and factors associated with artificial intelligence adoption among Egyptian periodontists: a multicenter cross-sectional study.Scientific reports · 2026Article
- Integration of Artificial Intelligence in Designing Removable Partial Dentures.International dental journal · 2026Article
- Attitudes Toward Artificial Intelligence Among Polish Dentists: A Cross-Sectional Survey.Diagnostics (Basel, Switzerland) · 2026Article
- A cross-sectional evaluation of Large Language Model answers to dental questions.BMC oral health · 2026Article
- Addressing Ethical Issues in Biomedical and Dental Publishing.European journal of dentistry · 2026Article
- Artificial Intelligence Applications in Pediatric Dentistry: A Comprehensive Review.Biomimetics (Basel, Switzerland) · 2026Review
- Evaluating large language models for interpreting and applying caries guidelines in clinical decision support.BMC oral health · 2026Article
- Dentists' awareness of data security and ethical issues during the transition to artificial intelligence-driven clinical practice.Acta odontologica Scandinavica · 2026Article
- Attitudes and perceptions of dental students and interns toward AI in dentistry: a cross-sectional survey in a Saudi population.BMC medical education · 2026Article
- Artificial intelligence in endodontics: A comprehensive review of applications and advancement.Bioinformation · 2026Article
- Evaluation of the diagnostic reliability of an AI prototype in detecting clinical features from dental photographs-original research.Frontiers in dental medicine · 2026Article
- Can artificial intelligence in orthopantomography advance dental diagnostics through automated image analysis?Frontiers in radiology · 2026Review
- Exploring the impact of artificial intelligence on dental education: Benefits, challenges, and future directions - A systematic review of the literature.Journal of education and health promotion · 2026Review
- AI Integration in Brazilian Master's Curricula and Its Implications in Dental Education.International journal of dentistry · 2026Article
- Performance comparison of large language models on pediatric dentistry questions in the Turkish dentistry specialization examination.BMC medical education · 2025Article
- Artificial intelligence in the study of oral lichen planus characteristics: a review.BDJ open · 2025Review
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has remarkably increased its presence and significance in a wide range of sectors, including dentistry. It can mimic the intelligence of humans to undertake complex predictions and decision-making in the healthcare sector, particularly in endodontics. The models of AI, such as convolutional neural networks and/or artificial neural networks, have shown a variety of applications in endodontics, including studying the anatomy of the root canal system, forecasting the viability of stem cells of the dental pulp, measuring working lengths, pinpointing root fractures and periapical lesions and forecasting the success of retreatment procedures. Future applications of this technology were considered in relation to scheduling, patient care, drug-drug interactions, prognostic diagnosis, and robotic endodontic surgery. In endodontics, in terms of disease detection, evaluation, and prediction, AI has demonstrated accuracy and precision. AI can aid in the advancement of endodontic diagnosis and therapy, which can enhance endodontic treatment results. However, before incorporating AI models into routine clinical operations, it is still important to further certify the cost-effectiveness, dependability, and applicability of these models.
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.