ReviewAdvances in medical education and practice2026
Application of Artificial Intelligence in Education of Prosthodontics and Implant Dentistry: A Review.
Review in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Evaluating AI Chatbots in Prosthodontics Education: A Quantitative MCQ-Based Assessment.International journal of dentistry · 2026Article
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
Objective: This review evaluates the specific applications of Artificial Intelligence (AI) in prosthodontic and implant dentistry education, and discusses related educational challenges. Data and Sources: Searches in PubMed, Scopus, Wiley and Web of Science used targeted keywords including artificial intelligence, prosthodontics, education, implant dentistry, virtual simulation, and combinations of the keywords. Study Selection: We included 213 articles focusing exclusively on AI applications in prosthodontic and implant dentistry education, covering theoretical learning, skill training, and clinical practice. Results: The review identified key AI applications: 1) Generative AI enhancing theoretical learning on Prosthodontics and Implant Dentistry for students and faculty; 2) AI-powered simulators and assessment tools improving laboratory and clinical skill training of Prosthodontics and Implant Dentistry. 3) Critical challenges regarding academic integrity, algorithmic bias, and data privacy were also highlighted. Conclusions: AI offers transformative potential in medical education and translation by enhancing skill acquisition and assessment. Addressing the ethical and practical challenges is essential for its successful and responsible integration into the curriculum.
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.