ReviewInternational dental journal2026
Generative Artificial Intelligence: Applications and Future Prospects in Dentistry.
Review in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.Dento maxillo facial radiology · 2026Pooled it
- Large language models answering structured questions on external cervical resorption: a comparative study.Odontology · 2026Article
- Accuracy and Functional Performance of Artificial Intelligence-Based Automated Crown Design Systems: A Systematic Review and Meta-Analysis.Biomedical engineering and computational biology · 2026Review
- Artificial intelligence for the detection and diagnosis of oral and maxillofacial lesions: evidence, limitations, and future directions.Brazilian oral research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative artificial intelligence (GenAI) is rapidly advancing in healthcare and is poised to transform dentistry. Given its increasing adoption in clinical and educational contexts, a comprehensive review is needed to evaluate current progress and future directions. This narrative review investigates its applications, challenges, and prospects. 74 studies from 2020 to 2025 were analyzed, covering various branches of dental medicine. GenAI has shown promise in crown design, tooth alignment, radiographic diagnosis, and educational content generation, using generative adversarial networks, diffusion models, and large language models. However, limitations remain, including insufficient clinical validation, non-standardized datasets, fragmented workflows, and ethical concerns such as data privacy and transparency. Overall, GenAI represents a transformative technology with potential to enhance diagnosis, treatment planning, and education, but continued research and standardized protocols are essential for safe integration.
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.