Artificial intelligence (AI) is making waves in dentistry, with applications in predicting dental implant success. AI models analyze patient data (X-rays, medical history) to identify factors influencing implant viability. The aim is to identify exis...
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
OBJECTIVE: To segment dental implants on PA radiographs using a Deep Learning (DL) algorithm. To compare the performance of the algorithm relative to ground truth determined by the human annotator.
This case report presents a challenging case of catastrophic failure of a fixed partial denture involving fracture of the prosthesis as well as supporting implants and teeth. The use of robotics facilitated efficient and successful restoration of the...
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Dec 9, 2023
With the advancement of technology, intelligent technology has achieved unprecedented progress and breakthroughs in various fields. Dental implant robots represent a significant leap in the field of dental medical technology. This article aims to rev...
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...
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