JOURNAL ARTICLE

Abstracts of the papers for the annual meeting of the Computer Science Section of the DGCZ.

  • Published In: International Journal of Computerized Dentistry, 2024, v. 27, n. 3. P. 1 1 of 2

  • Database: Dentistry & Oral Sciences Source 2 of 2

Abstract

The document contains abstracts from the annual meeting of the Computer Science Section of the DGCZ, focusing on digital dentistry advancements. Topics include prosthetic rehabilitation using digital technology, generative deep learning for inlay design, AI-supported radiographic implant identification, digitization in dental practices, mechanical characterization of CAM composite restorations, and digital prosthetic technologies for patients with eating disorders and ectodermal dysplasia. The influence of scanning modes on fixed denture accuracy and tooth wear rehabilitation using CAD/CAM technology are also discussed. [Extracted from the article]

Additional Information

  • Source:International Journal of Computerized Dentistry. 2024/07, Vol. 27, Issue 3, p1
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:1463-4201
  • Accession Number:181412665
  • Copyright Statement:Copyright of International Journal of Computerized Dentistry is the property of Quintessence Publishing Company Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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