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17
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Introduction
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Publications
Publications (17)
Background:
The aim of the current study was to evaluate the outcomes and complications of three-unit porcelain-fused-to-metal tooth-implant-supported prostheses in comparison with implant-supported prostheses.
Materials and methods:
In this review article, the electronic databases, PubMed, Scopus, LILACS, Web of Science, EBSCO, LIVIVO, and Emba...
Introduction:
Articaine is reported to have a fast onset and a short-acting pulpal anesthesia in inferior alveolar nerve blocks. Clonidine is an α 2-adrenoceptor agonist and is used as an adjunct to enhance the anesthetic efficacy and induce greater analgesia. In an attempt to search for more effective ways to achieve profound analgesia after root...
This umbrella review aims to evaluate systematic/meta-analysis studies containing clinical evidence on tooth grafts as bone substitutes in the oral and maxillofacial regions. Using language restrictions and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, an electronic database search of PubMed, MEDLINE, Embas...
Background
The objective is to compare the impact of clear aligner treatment (CAT) versus conventional fixed appliance treatment (FAT) on oral health-related quality of life (OHRQoL) among adults at five-time points: pretreatment (T0), 1 week (T1), 1 month after (T2), and 6 months after (T3) treatment initiation, and in the long-term follow-up (T4)...
Statement of problem. With the growing importance of implant brand detection in clinical practice, the accuracy of machine learning algorithms in implant brand detection has become a subject of research interest. Recent studies have shown promising results for the use of machine learning in implant brand detection. However, despite these promising...
Background: Machine learning (ML), a facet of artificial intelligence, utilizes algorithms to learn from data without explicit programming. In orthodontics, ML offers advantages like tailoring personalized treatment plans for patients. Despite its potential, there hasn’t been a bibliometric analysis of ML studies in orthodontics. This study aims to...
Objectives Using finite element analysis (FEA), this study aimed to determine the effect of nonrigid connectors (NRCs) and their position on the success of tooth and implant-supported fixed prostheses in the maxillary posterior region.
Materials and Methods Three three-dimensional FEA models were designed, presuming maxillary second premolar and fi...
Currently, studies focusing on specific causes of malodor associated with dental implants are scarce. The purpose of this clinical study was to compare clinical parameters and bacterial growth in a healing phase of implant systems and their relation with malodor. 60 oral samples were collected from the site of the healing abutment of 27 patients fo...
Long-term clinical outcomes of short dental implants (≤6 mm) supporting single crowns or short fixed partial dentures have been reported differently in different studies and need more clarification. This systematic study evaluated the rate of bone loss (BL), the durability of implants equal to or shorter than 6 mm supporting single crowns or short...
Objectives:
The aim of this article is to establish a comprehensive nationwide prevalence of malocclusion traits on the sagittal, vertical, and transverse planes of space in the Turkish population.
Material and methods:
A systematic search of PubMed, Scopus, and Web of Science was supplemented by manual searches of Google Scholar and the referen...
Objectives:
This study aimed to evaluate the impact of molar incisor hypomineralization (MIH) and its different severities on various aspects of oral health-related quality of life (OHRQoL) in children between 8 and 10 years of age.
Data sources:
The search terms were chosen according to the Medical Subject Headings (MeSH) and non-MeSH. Potentia...
Introduction
Cephalometry is the study of skull measurements for clinical evaluation, diagnosis, and surgical planning. Machine learning (ML) algorithms have been used to accurately identify cephalometric landmarks and detect irregularities related to orthodontics and dentistry. ML-based cephalometric imaging reduces errors, improves accuracy, and...
