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Digital Design and Fabrication in Dentistry

Authors: Mary P. Walker; Ming C. Leu; Parthiban Delli;

Digital Design and Fabrication in Dentistry

Abstract

In the past three decades, the fast growing technology of Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) has been continuously developed and applied to many fields in engineering, manufacturing, entertainment, and medicine. While maturing in some of the fields, CAD/ CAM is still in developing stages in the medical and dental arena. From industry surveys, more than 240 million people are missing one or more teeth in North America, Europe and Japan. There are approximately 400,000 dentists in the United States and Europe, with 20,000 dental laboratories making over 40 million dental devices/restorations (crowns, bridges, implant restorations, dentures) each year to treat the patients (Nobel Biocare, 2005). Traditionally, dental restorations have been manually fabricated, which is a lengthy process. Initially, an impression of the patient’s mouth is made with a rubber-like material and a gypsum (plaster) model or cast, often called a ‘‘stone model,’’ is made from this impression. A wax pattern of the restoration is then created by manually adding wax to the stone model using small instruments with magnification. The completed wax pattern is then encased in a heat-resistant investment mold with the wax pattern burned out in an oven. Melted metal alloy is then cast into the mold to make the replacement tooth or restoration. This process, also called the ‘lost-wax technique’ is very labor intensive. Although the concept of CAD/CAM for dentistry was advocated in 1970s by Francois Duret (Duret, 1988; Schmitt, 2001), the actual use of this computer automated design and manufacturing technology has been slow to evolve until lately. In the past, dental automation was difficult because the software and hardware needed for the automation was not fully reliable and too expensive.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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