Assessment of using transfer learning with different classifiers in hypodontia diagnosis.

Background: Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis. However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. The aim of this study was to classify single premolar agenesis, multiple premolar agenesis, and without tooth agenesis using various artificial intelligence approaches.

Comprehensive data analysis of white blood cells with classification and segmentation by using deep learning approaches.

Deep learning approaches have frequently been used in the classification and segmentation of human peripheral blood cells. The common feature of previous studies was that they used more than one dataset, but used them separately. No study has been found that combines more than two datasets to use together.

Do hypomineralized teeth affect parents' emotional states and attitudes more than other discoloration conditions?

Discoloration poses a significant esthetic issue, and parents' opinions and emotional states may vary regarding different types of discoloration, such as molar incisor hypomineralization, caries or chromogenic bacteria. This study aimed to assess parent's emotional state and attitudes towards discoloration in primary and permanent teeth. A two-part questionnaire was designed, consisting of questions about demographic data and simulated visuals of different primary and permanent teeth discoloration conditions.

Attitudes and emotional status of parents regarding traumatic dental injuries.

Background/aims: Traumatic dental injuries have different effects on children and their parents, depending on the type of trauma and whether it is in primary or permanent teeth. Parents do not always seek immediate intervention for their children after each traumatic dental injury unless accompanied by conditions such as pain or bleeding that will increase emotional stress. The aim of this study was to evaluate the emotional status of parents and parents' attitudes toward urgent intervention for different traumatic dental injuries in both primary and permanent teeth.

Novel Electrospun Polymeric Nanofibers Loaded Different Medicaments as Drug Delivery Systems for Regenerative Endodontics.

Background: A combination of antibiotics, including metronidazole (MET), ciprofloxacin (CIP), and minocycline (MINO), has been demonstrated to disinfect bacteria in necrotic teeth before regenerative processes. It has been presented clinically that antibiotic pastes may drive to possible stem cell death, creating difficulties in removing from the canal system, which can limit the regenerative procedure. This study was designed to (1) synthesize nanofibrous webs containing various concentrations of different medicaments (triple, double, and calcium hydroxide, Ca(OH)), and (2) coat the electrospun fibrous gutta-percha (GP) cones.

Electrospun nanofiber reinforcement of dental composites with electromagnetic alignment approach.

Polymethylmethacrylate (PMMA) is commonly used as a base acrylic denture material with benefits of rapid and easy handling, however, when it is used in prosthetic dentistry, fracturing or cracking problems can be seen due to the relatively low strength issues. Besides, acrylic resin is the still prominent material for denture fabrication due to its handy and low cost features. Numerous proposed fillers that are used to produce PMMA composites, however electrospun polyvinylalcohol (PVA) nanofiber fillers for production of PMMA composite resins are not studied as much as the others.