AIMC Topic: Dental Implants

Clear Filters Showing 61 to 70 of 105 articles

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 (...

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...

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...

Predicting the risk of dental implant loss using deep learning.

Journal of clinical periodontology
AIM: To investigate the feasibility of predicting dental implant loss risk with deep learning (DL) based on preoperative cone-beam computed tomography.

Prediction of Dental Implants Using Machine Learning Algorithms.

Journal of healthcare engineering
It has been claimed that artificial intelligence (AI) has transformative potential for the healthcare sector by enabling increased productivity and creative methods of delivering healthcare services. Recently, there has been a major shift to artifici...

Guided innovations: Robot-assisted dental implant surgery.

The Journal of prosthetic dentistry
Dental implants have become the preferred treatment modality for the replacement of missing teeth. The success of implant therapies is dependent on the precision of the implant placement to effectively support prosthetic outcomes that optimize form a...

Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT.

Oral radiology
OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR) technique on image quality and reduction of radiation exposure, and to propose a low-dose multidetector-row computed tomography (MDCT) scan protocol ...

A pilot study of a deep learning approach to detect marginal bone loss around implants.

BMC oral health
BACKGROUND: Recently, there has been considerable innovation in artificial intelligence (AI) for healthcare. Convolutional neural networks (CNNs) show excellent object detection and classification performance. This study assessed the accuracy of an a...

Evaluation of a custom-designed human-robot collaboration control system for dental implant robot.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The purpose of this study is to develop a methodology to better control a human-robot collaboration for robotic dental implant placement. We have designed a human-robot collaborative implant system (HRCDIS) which is based on a zero-force ...

Vertical Deviation Caused by Tightening Torque on Implant Scan Body: An In Vitro Study.

The International journal of prosthodontics
PURPOSE: This study evaluated the effects of manipulator level (ML) on implant scan body (ISB) seating. It also investigated ISB vertical deviation with various levels of tightening torque.