The International journal of oral & maxillofacial implants
Jan 1, 2023
To evaluate the accuracy and clinical usability of an identification model using ensemble deep learning for 130 dental implant types. A total of 28,112 panoramic radiographs were obtained from 30 domestic and foreign dental clinics. From these pano...
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Feb 9, 2021
To evaluate the accuracy of the Autonomous Dental Implant Robotic System (ADIR) through animal experiments. Nine canine models with bilateral mandibular premolars loss were prepared. Two implants were placed in each side of canine's mandibular ede...
The International journal of oral & maxillofacial implants
Jan 1, 2021
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 periapical radiographs.
Convolutional neural networks (CNNs), a particular type of deep learning architecture, are positioned to become one of the most transformative technologies for medical applications. The aim of the current study was to evaluate the efficacy of deep CN...
The International journal of oral & maxillofacial implants
Jan 1, 2020
PURPOSE: The objective of this study was to develop a deep convolutional neural network (CNN) that would identify the brand and model of a dental implant from a radiograph.
Shanghai kou qiang yi xue = Shanghai journal of stomatology
Dec 1, 2017
PURPOSE: To assess the capability of monochromatic energy images of gemstone spectral imaging(GSI) by using spectral CT in reducing metal artifacts of oral and maxillofacial region.