Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Deep learning has become an active research topic in the field of medical image analysis. In
particular, for the automatic segmentation of stomatological images, great advances have …

Aim To verify the diagnostic performance of an artificial intelligence system based on the
deep convolutional neural network method to detect periapical pathosis on cone‐beam …

Compared with the rapidly growing artificial intelligence (AI) research in other branches of
healthcare, the pace of developing AI capacities in dental care is relatively slow. Dental care …

Background Panoramic radiography is an imaging method for displaying maxillary and
mandibular teeth together with their supporting structures. Panoramic radiography is …

An attempt has been made to device a robust method to classify different oral pathologies
using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN) …

An attempt has been made to device a robust method to detect and classify different
oral/dental pathologies using Orthopantomogram (OPD) images based on Faster-Regional …

The use of the Diagnocat program based on artificial intelligence in assessing the state of
the upper respiratory tract in children with adenoid vegetations was studied. The analysis of …

Ziele: Die Ziele dieser Dissertation waren,(1) ein Scoping-Review von Studien über
maschinelles Lernen (ML) in der Zahnmedizin,(2) eine Benchmarking-Studie zum …

Computed Tomography (CT), as a 3D imaging technique, has greatly facilitated bone
analysis over the past few decades. This thesis aimed to design novel deep learning …