ArticleThe Saudi dental journal2026
Artificial intelligence and the future of prosthodontics: a narrative review.
Article in The Saudi dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis narrative review aims to systematically summarize and compile available evidence on the applications of artificial intelligence (AI) across major domains of prosthodontics, including complete dentures, removable partial dentures, fixed prosthodontics, implant-supported prosthodontics, and maxillofacial prosthetics.
methodsA structured search of the literature was carried out using the PubMed and Scopus databases, along with manual screening of relevant journals, to identify peer-reviewed clinical, experimental, and review studies published between 2006 and 2025. Search strategies incorporated combinations of keywords related to "artificial intelligence", "machine learning", "deep learning", and "neural network" as well as prosthodontic domain-specific terms. A total of 54 studies that met the inclusion criteria were selected for analysis. Because of variability in study designs, datasets, and reported outcomes, a quantitative meta-analysis was not feasible, so findings were synthesized using a descriptive narrative approach. This review was conducted as a narrative study and did not adhere to a PRISMA protocol.
resultsThe included studies show that artificial intelligence applications in prosthodontics are predominantly concentrated in implant prosthodontics, followed by fixed and removable prosthodontics. AI methodologies were frequently applied to arch classification, image interpretation, predictive modeling, prosthesis design, implant system recognition, and workflow optimization, with many studies reporting accuracy levels exceeding 90% under controlled conditions. Despite these results, most evidence is derived from retrospective or experimental settings, with limited prospective clinical validation. Commonly reported challenges include data quality, lack of model transparency, ethical considerations, and difficulties in the use of AI systems in routine clinical workflows.
conclusionCurrent evidence indicates that artificial intelligence has been widely explored as a supportive adjunct within digital prosthodontic workflows. Further standardized validation, prospective clinical studies, and ethical oversight are required to clarify clinical applicability and guide responsible integration into routine prosthodontic practice.
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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.