Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

Abstract Two-dimensional (2D) materials offer opportunities to explore both fundamental
science and applications in the limit of atomic thickness. Beyond the prototypical case of …

Background The aim of this study was to evaluate the success of the artificial intelligence
(AI) system in implant planning using three-dimensional cone-beam computed tomography …

Ideal epidermal bioelectronics can be used not only for long‐term detection of physiological
signals for disease diagnosis but also for chronic disease treatment. Silk, an animal‐derived …

We developed an automatic method for staging periodontitis on dental panoramic
radiographs using the deep learning hybrid method. A novel hybrid framework was …

Artificial intelligence, which has been actively applied in a broad range of industries in
recent years, is an active area of interest for many researchers. Dentistry is no exception to …

Statement of problem Artificial intelligence (AI) models have been developed for periodontal
applications, including diagnosing gingivitis and periodontal disease, but their accuracy and …

In the last few years, artificial intelligence (AI) research has been rapidly develo** and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

Aim The goal was to use a deep convolutional neural network to measure the radiographic
alveolar bone level to aid periodontal diagnosis. Materials and Methods A deep learning …

The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …