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Cited by 424

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Trends in Computer-Aided Manufacturing in Prosthodontics: A Review of the Available Streams

Open access
Abduo, Jaafar, Lyons, Karl, Bennamoun, Mohammed·2014·International Journal of Dentistry

Abstract

In prosthodontics, conventional methods of fabrication of oral and facial prostheses have been considered the gold standard for many years. The development of computer-aided manufacturing and the medical application of this industrial technology have provided an alternative way of fabricating oral and facial prostheses. This narrative review aims to evaluate the different streams of computer-aided manufacturing in prosthodontics. To date, there are two streams: the subtractive and the additive approaches. The differences reside in the processing protocols, materials used, and their respective accuracy. In general, there is a tendency for the subtractive method to provide more homogeneous objects with acceptable accuracy that may be more suitable for the production of intraoral prostheses where high occlusal forces are anticipated. Additive manufacturing methods have the ability to produce large workpieces with significant surface variation and competitive accuracy. Such advantages make them ideal for the fabrication of facial prostheses.

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Metadata

Authors
Abduo, J., Lyons, K., & Bennamoun, M.
Venue
International Journal of Dentistry
Publisher
Wiley
Published
2014
Volume
2014
Pages
1-15
ISSN
  • 1687-8728 (ISSN-L)
  • 1687-8736
OpenAlex
W1982517518
Cited by
424
References
44
FWCI
19.23
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Trends in Computer-Aided Manufacturing in Prosthodontics: A Review of the Available Streams. https://app.cochat.ai/papers/10.1155/2014/783948
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Abduo, J., Lyons, K., & Bennamoun, M. (2014). Trends in Computer-Aided Manufacturing in Prosthodontics: A Review of the Available Streams. International Journal of Dentistry. https://doi.org/10.1155/2014/783948

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.