Background This paper outlines the current status and mechanism for identifying dental
implants, with emphasis on future direction and updated technology, and covers the existing …

Convolutional neural networks (CNNs), a particular type of deep learning architecture, are
positioned to become one of the most transformative technologies for medical applications …

This study aimed to evaluate the accuracy of automated deep learning (DL) algorithm for
identifying and classifying various types of dental implant systems (DIS) using a large-scale …

In this study, the efficacy of the automated deep convolutional neural network (DCNN) was
evaluated for the classification of dental implant systems (DISs) and the accuracy of the …

This study aimed to evaluate the efficacy of deep learning (DL) for the identification and
classification of various types of dental implant systems (DISs) using a large-scale …

The use of dental implants has witnessed great popularity in recent years. It has been
documented that dental implants are valuable aids in forensic identification. In particular, in …

Purpose: To develop and evaluate the accuracy of a computer-assisted system based on
artificial intelligence for detecting and identifying dental implant brands using digital …

Aim: To evaluate the efficacy of machine learning in identification of dental implant systems
from panoramic radiographs based on the shape. Settings and Design: In vitro–Descriptive …

To properly repair and maintain implants, which are bone tissue implants that replace
natural tooth roots, it is crucial to accurately identify their brand and specification. Deep …

Odontological identification consists of the comparison of antemortem dental information
regarding a missing person with postmortem data from an unidentified corpse or human …