Latest Research on Advanced Materials and Technologies in Orthodontics
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Biomaterials".
Deadline for manuscript submissions: closed (10 June 2024) | Viewed by 2979
Special Issue Editors
Interests: orthodontics; dentofacial orthopaedics; evidence-based dentistry
Interests: dentofacial orthopedics; class III; skeletal anchorage; surgical orthodontics; 3D imaging; 3D printing; arifail intelligence; digital; CAD/CAM orthodontics
Special Issue Information
Dear Colleagues,
Advances in technologies related to the development and application of artificial intelligence (AI) in the medical field have resulted in a paradigm shift. AI is a powerful tool, and its applications can support diagnoses, treatments, and decision making, as well as significantly impact treatment outcomes. Applying AI technologies in dentistry—more specifically, orthodontics—is revolutionary, but still in the early stages. AI applications in orthodontics include identifying cephalometric landmarks and improving diagnostic accuracy, helping clinicians select the best treatment approach, and isolating sleep conditions by monitoring mandibular movement. The evidence in recent studies has shown promising results. However, this area warrants further research to fully optimize AI’s ability to enhance the orthodontic field.
Similarly, advances in biomaterials, computer-aided design (CAD), and manufacturing (CAM) have endorsed the orthodontics practice with customized brackets, wires, and clear aligners. These advances have improved the clinical performance of orthodontics appliances and provided more esthetically acceptable treatment options.
This Special Issue aims to provide insight into current advances in AI technologies, materials, and their applications in orthodontics. We are pleased to invite you to submit your work for consideration in this important issue. Before submission, please carefully review the journal’s “Author Guidelines.”
Dr. Thikriat Al-Jewair
Dr. Mohammed H. Elnagar
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial Intelligence
- machine learning
- deep learning
- neural Networks
- decision-making
- orthodontic applications
- CAD/CAM orthodontic appliances
- clear aligners
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