TY - JOUR
T1 - The Potential of Artificial Intelligence in Prosthodontics
T2 - A Comprehensive Review
AU - Aljulayfi, Ibrahim Saleh
AU - Almatrafi, Ali Hamoud
AU - Althubaitiy, Ramzi O.
AU - Alnafisah, Fahad
AU - Alshehri, Khalid
AU - Alzahrani, Bandar
AU - Gufran, Khalid
N1 - Publisher Copyright:
© 2024 International Scientific Information, Inc.. All rights reserved.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Deep Learning
KW - Machine Learning
KW - Prosthodontics
UR - https://www.scopus.com/pages/publications/85195354243
U2 - 10.12659/MSM.944310
DO - 10.12659/MSM.944310
M3 - Review article
C2 - 38840416
AN - SCOPUS:85195354243
SN - 1234-1010
VL - 30
JO - Medical Science Monitor
JF - Medical Science Monitor
ER -