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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="dentistry" lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">JOHS</journal-id>
<journal-id journal-id-type="nlm-ta">Journ of Health Scien</journal-id>
<journal-title-group>
<journal-title>Journal of HealthCare Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Journ of Health Scien</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2231-2196</issn>
<issn pub-type="opub">0975-5241</issn>
<publisher>
<publisher-name>Radiance Research Academy</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">253</article-id>
<article-id pub-id-type="doi">http://dx.doi.org/10.52533/JOHS.2024.40104</article-id>
<article-id pub-id-type="doi-url"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Dentistry</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Digital Shade Matching Techniques in Fixed Prosthodontics
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Binhuraib</surname>
<given-names>Haitham</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aloqayli</surname>
<given-names>Sarah</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alkhalifah</surname>
<given-names>Sahar</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aljohani</surname>
<given-names>Ahmed</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alotaibi</surname>
<given-names>Razan</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Almalki</surname>
<given-names>Riyadh</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alhedaibi</surname>
<given-names>Jumanah</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alshaheen</surname>
<given-names>Eyad</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alzahrani</surname>
<given-names>Abdulrahman</given-names>
</name>
</contrib>
</contrib-group>
<pub-date pub-type="ppub">
<day>13</day>
<month>01</month>
<year>2024</year>
</pub-date>
<volume>4</volume>
<issue>1 </issue>
<fpage>34</fpage>
<lpage>40</lpage>
<permissions>
<copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement>
<copyright-year>2009</copyright-year>
<license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p>When it comes to fixed prosthodontics, making sure that the natural tooth color is accurately replicated is extremely important for achieving results and satisfying patients. However traditional shade matching methods that rely on judgment have often led to variations. The introduction of technologies has completely transformed this field by bringing in precise techniques. One notable advancement is spectrophotometry, which objectively analyzes the color spectrum by measuring how light reflects and transmits across wavelengths. This method has proven to be effective in improving the accuracy of shade matching while minimizing the influence of factors. Additionally, digital photography with lighting conditions has refined color determination by allowing for accurate documentation and communication among dental professionals. By integrating color management systems, consistency across devices can be ensured, which is crucial for shade matching results. The future oriented aspect of artificial intelligence also plays a role in this field as machine learning algorithms have the potential to surpass human capabilities in recognizing subtle variations in color. The clinical implementation of digital shade matching brings about precision, efficiency and communication addressing the limitations of methods and providing a more accurate reproduction of natural tooth color. Despite challenges such as standardizing lighting conditions and replicating nuances in tooth color accurately it is evident that these advancements have positively transformed fixed prosthodontics. Managing digital shade matching involves adopting an approach that includes incorporating technologies implementing robust clinical protocols and providing ongoing education for dental professionals. However, there are still some difficulties continuous progress has made digital shade matching a solution. It provides a systematic method for determining the color in fixed prosthodontics. As dental practices embrace these advancements, the synergy of technology and clinical expertise promises to redefine esthetic dentistry standards.
</p>
</abstract>
<kwd-group>
<kwd>Digital Shade Matching</kwd>
<kwd> Spectrophotometry</kwd>
<kwd> Fixed Prosthodontics</kwd>
<kwd> Color Reproduction</kwd>
<kwd> Artificial Intelligence in Dentistry</kwd>
</kwd-group>
</article-meta>
</front>
</article>