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Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review.
Yeslam, Hanin E; Freifrau von Maltzahn, Nadine; Nassar, Hani M.
Affiliation
  • Yeslam HE; Department of Restorative Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Freifrau von Maltzahn N; Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hanover, Germany.
  • Nassar HM; Department of Restorative Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
PeerJ ; 12: e17793, 2024.
Article in En | MEDLINE | ID: mdl-39040936
ABSTRACT
Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; "Artificial Intelligence", "Machine Learning", "Neural Networks", "Virtual Reality", "Digital Dentistry", "CAD/CAM", and "Restorative Dentistry". Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners' CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Computer-Aided Design / Dental Materials Limits: Humans Language: En Journal: PeerJ Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Computer-Aided Design / Dental Materials Limits: Humans Language: En Journal: PeerJ Year: 2024 Document type: Article Affiliation country: Country of publication: