AIMC Topic: Dental Implants
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Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study.
Journal of dentistry
Jul 28, 2023
OBJECTIVES: To train and validate a cloud-based convolutional neural network (CNN) model for automated segmentation (AS) of dental implant and attached prosthetic crown on cone-beam computed tomography (CBCT) images.
Accuracy and efficiency of robotic dental implant surgery with different human-robot interactions: An in vitro study.
Journal of dentistry
Jul 28, 2023
OBJECTIVES: This study aims to compare the surgical efficiency (preparation and operation time) and accuracy of implant placement between robots with different human-robot interactions.
Accuracy and safety of a haptic operated and machine vision controlled collaborative robot for dental implant placement: A translational study.
Clinical oral implants research
Jun 12, 2023
OBJECTIVES: Multiple generations of medical robots have revolutionized surgery. Their application to dental implants is still in its infancy. Co-operating robots (cobots) have great potential to improve the accuracy of implant placement, overcoming t...
Effect of the number and distribution of fiducial markers on the accuracy of robot-guided implant surgery in edentulous mandibular arches: An in vitro study.
Journal of dentistry
Apr 25, 2023
OBJECTIVES: Robot-guided implant placement based on the screw marker-assisted registration technique has been applied in dentistry. This study aimed to identify the optimal number and distribution of fiducial markers for robot-guided implant placemen...
Deep learning-based prediction of osseointegration for dental implant using plain radiography.
BMC oral health
Apr 8, 2023
BACKGROUND: In this study, we investigated whether deep learning-based prediction of osseointegration of dental implants using plain radiography is possible.
Automated deep learning for classification of dental implant radiographs using a large multi-center dataset.
Scientific reports
Mar 24, 2023
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
Mar 1, 2023
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...
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
Feb 8, 2023
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.
Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.
International journal of molecular sciences
Jan 18, 2023
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...
Zygomatic implant placement using a robot-assisted flapless protocol: proof of concept.
International journal of oral and maxillofacial surgery
Dec 12, 2022
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...
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