Comparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review.

Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of using DL algorithms from 2D radiographs.

Clear aligner therapy versus conventional brackets: Oral impacts over time.

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).

Materials And Methods: Search terms were based on Medical Subject Headings (MeSH) and non-MeSH. Potentially eligible studies compared OHRQoL in clear aligner (CA) and fixed appliance (FA) patients.

Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review.

Objectives: This research was aimed at assessing comprehension, attitudes, and perspectives regarding artificial intelligence (AI) in dentistry. The null hypothesis was a lack of foundational understanding of AI in dentistry.

Methods: This systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted in May 2023.

Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis.

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 findings, a comprehensive evaluation of the accuracy of machine learning in implant brand detection is needed.

Prevalence of malocclusion in Turkish children and adolescents: A systematic review and meta-analysis.

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 reference lists of included studies. Original Turkish health studies of any age were included.

Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and -analysis.

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 saves time.

How much can we rely on artificial intelligence chatbots such as the ChatGPT software program to assist with scientific writing?

Unlabelled: STATEMENT OF PROBLEM: Use of the ChatGPT software program by authors raises many questions, primarily regarding egregious issues such as plagiarism. Nevertheless, little is known about the extent to which artificial intelligence (AI) models can produce high-quality research publications and advance and shape the direction of a research topic.

Purpose: The purpose of this study was to determine how well the ChatGPT software program, a writing tool powered by AI, could respond to questions about scientific or research writing and generate accurate references with academic examples.

Onset of Mucormycosis in Patients with COVID-19: A Systematic Review on Patients' Characteristics.

Mucormycosis has a significant impact on patients' standard of living and, therefore, a high clinical suspicion, prediagnosis, and rapid treatment are critical in easing patients' suffering and fast recovery. Our focus is to conduct an organized review based on various variables on the patients' characteristics having mucormycosis in severe novel coronavirus disease 2019 (COVID-19). We examined Embase, PubMed-Medline, LitCovid, Web of Science, Scopus, and the reference lists of included case reports up to September 20, 2021, using the Medical Subject Heading (MeSH) phrases and other keywords related to this topic.

Assessment of the golden proportion in natural facial esthetics: A systematic review.

Statement Of Problem: Faces considered attractive tend to possess a general harmony; however, scientific studies on the quantitative basis of human facial attractiveness are still sparse. The golden proportion has been the most documented ratio, but the actual existence of codified facial ratios in facially attractive individuals remains unclear.

Purpose: The purpose of this systematic review was to evaluate the deviation from the golden proportion in the measurements of different natural vertical facial ratios.

Evaluation of the golden proportion in the natural dentition: A systematic review and meta-analysis.

Statement Of Problem: Different proportions of tooth width ratios have been evaluated, and the golden proportion is the best known. Although the prevalence of the golden proportion has been evaluated in different ethnic groups and populations, a meta-analysis of these studies is lacking.

Purpose: The purpose of this systematic review and meta-analysis was to investigate the existence and suitability of the golden proportion for tooth width ratios and to assess the prevalence of the golden proportion among populations.

Fight against COVID-19 with mRNA vaccines and interaction with Dermal fillers.

The current coronavirus disease 2019 (COVID-19) outbreak has created a huge demand for rapid and high-volume vaccine manufacturing. Several new platform technologies and traditional manufacturing approaches are being used to meet this demand. Among them, the mRNA vaccine platform technology holds great promise for obtaining an emergency use authorization to facilitate immunization against SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), which causes the respiratory illness COVID-19.