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Dental Implants

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Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?

PloS one
Attention mechanism, which is a means of determining which part of the forced data is emphasized, has attracted attention in various fields of deep learning in recent years. The purpose of this study was to evaluate the performance of the attention b...

Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomography.

Scientific reports
To develop and verify an automatic classification method using artificial intelligence deep learning to determine the bone mineral density level of the implant site in oral implant surgery from radiographic data obtained from cone beam computed tomog...

Deep learning-based dental implant recognition using synthetic X-ray images.

Medical & biological engineering & computing
A novel algorithm for generating artificial training samples from triangulated three-dimensional (3D) surface models within the context of dental implant recognition is proposed. The proposed algorithm is based on the calculation of two-dimensional (...

Zygomatic implant placement using a robot-assisted flapless protocol: proof of concept.

International journal of oral and maxillofacial surgery
Robotic assistance can help in physically guiding the drilling trajectory during zygomatic implant positioning. A new robot-assisted strategy for a flapless zygomatic implant placement protocol is reported here. In this protocol, a preoperative compu...

Identification of 130 Dental Implant Types Using Ensemble Deep Learning.

The International journal of oral & maxillofacial implants
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...

Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.

International journal of molecular sciences
Tissue differentiation varies based on patients' conditions, such as occlusal force and bone properties. Thus, the design of the implants needs to take these conditions into account to improve osseointegration. However, the efficiency of the design p...

ARTIFICIAL INTELLIGENCE MODELS SHOW POTENTIAL IN RECOGNIZING THE DENTAL IMPLANT TYPE, PREDICTING IMPLANT SUCCESS, AND OPTIMIZING IMPLANT DESIGN.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Revilla-León M, Gómez-Polo M, Vyas S, Barmak BA, Galluci GO,Att W, Krishnamurthy VR. J. Artificial intelligence applications in implant dentistry: A systematic review. J Prosthet Dent 2021:(21);S0022-3913.

Automated deep learning for classification of dental implant radiographs using a large multi-center dataset.

Scientific reports
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 multicenter dataset. Dental implant radiographs of pos-implant surge...

Robot-assisted implantation of additively manufactured patient-specific orthopaedic implants: evaluation in a sheep model.

International journal of computer assisted radiology and surgery
PURPOSE: Bone tumours must be surgically excised in one piece with a margin of healthy tissue. The unique nature of each bone tumour case is well suited to the use of patient-specific implants, with additive manufacturing allowing production of highl...

Deep learning-based prediction of osseointegration for dental implant using plain radiography.

BMC oral health
BACKGROUND: In this study, we investigated whether deep learning-based prediction of osseointegration of dental implants using plain radiography is possible.