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The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review.
Aljulayfi, Ibrahim Saleh; Almatrafi, Ali Hamoud; Althubaitiy, Ramzi O; Alnafisah, Fahad; Alshehri, Khalid; Alzahrani, Bandar; Gufran, Khalid.
Afiliação
  • Aljulayfi IS; Department of Prosthetic Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Almatrafi AH; Dental Clinics, King Saud Medical City Riyadh, Riyadh, Saudi Arabia.
  • Althubaitiy RO; Department of Prosthetic Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Alnafisah F; Dental Intern, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Alshehri K; Dental Intern, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Alzahrani B; Dental Intern, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
  • Gufran K; Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Med Sci Monit ; 30: e944310, 2024 Jun 06.
Article em En | MEDLINE | ID: mdl-38840416
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prostodontia / Inteligência Artificial Limite: Humans Idioma: En Revista: Med Sci Monit Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prostodontia / Inteligência Artificial Limite: Humans Idioma: En Revista: Med Sci Monit Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita