<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd"> <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">312</article-id> <article-id pub-id-type="doi">http://dx.doi.org/10.52533/JOHS.2024.41102</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>Innovations in Dental Imaging for Accurate Diagnosis and Treatment Planning in Canal Therapy </article-title> </title-group> <contrib-group> <contrib contrib-type="author"> <name> <surname>Ajina</surname> <given-names>Manal Abdulrhaman</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Algamdi</surname> <given-names>Mohammad Abdulrahman</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Balhaddad</surname> <given-names>Nada Omer</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alfaifi</surname> <given-names>Haifa Musa</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Albahrani</surname> <given-names>Zamzam Abdullah</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alamri</surname> <given-names>Samirah Mousa</given-names> </name> </contrib> </contrib-group> <pub-date pub-type="ppub"> <day>4</day> <month>11</month> <year>2024</year> </pub-date> <volume>4</volume> <issue>11</issue> <fpage>553</fpage> <lpage>558</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>Advancements in dental imaging have dramatically transformed the field of endodontics, improving both diagnostic accuracy and treatment outcomes, particularly in canal therapy. Traditional two-dimensional radiography, while still widely used, is often limited in its ability to visualize complex root canal anatomies and periapical pathologies. Cone-Beam Computed Tomography (CBCT) has emerged as a superior alternative, offering detailed three-dimensional views of the teeth and surrounding structures. This technology allows clinicians to detect anatomical variations, root fractures, and resorptive defects with greater precision, which is critical for effective treatment planning. In addition to CBCT, the development of intraoral scanners (IOS) has enhanced the precision of dental impressions and treatment planning. IOS technology generates real-time digital images, eliminating the need for traditional impression materials and reducing errors. By providing highly accurate 3D models of the teeth and surrounding tissues, IOS improves the planning and execution of complex root canal procedures and restorations. Artificial intelligence (AI) has also begun to play a significant role in dental imaging, offering predictive diagnostic capabilities that complement traditional methods. AI-driven systems can detect subtle pathologies and analyze imaging data to predict treatment outcomes with increased reliability. This not only enhances diagnostic accuracy but also allows for more personalized treatment approaches. Together, these innovations in dental imaging are revolutionizing endodontic therapy by offering clinicians more precise diagnostic tools and improving patient care. As these technologies continue to evolve, their integration into routine clinical practice is expected to further enhance the accuracy, efficiency, and success of endodontic treatments. The adoption of advanced imaging technologies represents a major step forward in modern dentistry, particularly in the management of complex canal systems and challenging endodontic cases. </p> </abstract> <kwd-group> <kwd>Cone-Beam Computed Tomography</kwd> <kwd> intraoral scanners</kwd> <kwd> artificial intelligence</kwd> <kwd> canal morphology</kwd> <kwd> endodontic treatment</kwd> </kwd-group> </article-meta> </front> </article>