AIMC Topic: Dental Implants

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A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System.

Journal of imaging informatics in medicine
This study aims to provide an effective solution for the autonomous identification of dental implant brands through a deep learning-based computer diagnostic system. It also seeks to ascertain the system's potential in clinical practices and to offer...

Application of artificial intelligence in dental implant prognosis: A scoping review.

Journal of dentistry
OBJECTIVES: The purpose of this scoping review was to evaluate the performance of artificial intelligence (AI) in the prognosis of dental implants.

A robust deep learning model for the classification of dental implant brands.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: In cases where the brands of implants are not known, treatment options can be significantly limited in potential complications arising from implant procedures. This research aims to explore the application of deep learning techniques for t...

Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.

Journal of dentistry
OBJECTIVES: To evaluate the diagnostic performance of three versions of a deep-learning convolutional neural network in terms of object detection and segmentation using a multiclass panoramic radiograph dataset.

Artificial intelligence serving pre-surgical digital implant planning: A scoping review.

Journal of dentistry
OBJECTIVES: To conduct a scoping review focusing on artificial intelligence (AI) applications in presurgical dental implant planning. Additionally, to assess the automation degree of clinically available pre-surgical implant planning software.

Deep learning in the overall process of implant prosthodontics: A state-of-the-art review.

Clinical implant dentistry and related research
Artificial intelligence represented by deep learning has attracted attention in the field of dental implant restoration. It is widely used in surgical image analysis, implant plan design, prosthesis shape design, and prognosis judgment. This article ...

Convolutional neural network-based measurement of crown-implant ratio for implant-supported prostheses.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Research has revealed that the crown-implant ratio (CIR) is a critical variable influencing the long-term stability of implant-supported prostheses in the oral cavity. Nevertheless, inefficient manual measurement and varied meas...

Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: With the growing importance of implant brand detection in clinical practice, the accuracy of machine learning algorithms in implant brand detection has become a subject of research interest. Recent studies have shown promising r...

Effect of implant shape and length on the accuracy of robot-assisted immediate implant surgery: An in vitro study.

Clinical oral implants research
OBJECTIVES: To compare the accuracy of immediate implant placement of cylindrical implants (CI) and tapered implants (TI) of different lengths using a robotic dental implant system.

Deep learning for the identification of ridge deficiency around dental implants.

Clinical implant dentistry and related research
OBJECTIVES: This study aimed to use a deep learning (DL) approach for the automatic identification of the ridge deficiency around dental implants based on an image slice from cone-beam computerized tomography (CBCT).