19 April 2024 : Review article
[In Press] The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review
Ibrahim Saleh Aljulayfi 1ABC, Ali Hamoud Almatrafi2ABD, Ramzi O. Althubaitiy1ACG, Fahad Alnafisah3BCF, Khalid Alshehri3BCF, Bandar Alzahrani3BCF, Khalid Gufran 4DEGDOI: 10.12659/MSM.944310
Med Sci Monit In Press; DOI: 10.12659/MSM.944310
Available online: 2024-04-19, In Press, Corrected Proof
Publication in the "In-Press" formula aims at speeding up the public availability of the pending manuscript while waiting for the final publication. The assigned DOI number is active and citable. The availability of the article in the Medline, PubMed and PMC databases as well as Web of Science will be obtained after the final publication according to the journal schedule
Abstract
ABSTRACT
Prosthodontics is a dental subspecialty that includes the preparation of dental prosthetics for missing or damaged teeth. It increasingly uses computer-assisted technologies for planning and preparing dental prosthetics. This study aims to present the findings from a systematic review of publications on artificial intelligence (AI) in prosthodontics to identify current trends and future opportunities.
The review question was “What are the applications of AI in prosthodontics and how good is their performance in prosthodontics?” Electronic searching in the Web of Science, ScienceDirect, PubMed, and Cochrane Library was conducted. The search was limited to full text from January 2012 to January 2024. Quadas-2 was used for assessing quality and potential risk of bias for the selected studies.
A total of 1925 studies were identified in the initial search. After removing the duplicates and applying exclusion criteria, a total of 30 studies were selected for this review. Results of the Quadas-2 assessment of included studies found that a total of 18.3% of studies were identified as low risk of bias studies, whereas 52.6% and 28.9% of included studies were identified as studies with high and unclear risk of bias, respectively.
Although they are still developing, AI models have already shown promise in the areas of dental charting, tooth shade selection, automated restoration design, mapping the preparation finishing line, manufacturing casting optimization, predicting facial changes in patients wearing removable prostheses, and designing removable partial dentures.
Keywords: Artificial Intelligence; Deep Learning; Machine Learning; Prosthodontics
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