AIMC Topic: Dental Implants

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Accuracy Comparison between Robot-Assisted Dental Implant Placement and Static/Dynamic Computer-Assisted Implant Surgery: A Systematic Review and Meta-Analysis of In Vitro Studies.

Medicina (Kaunas, Lithuania)
: The present systematic review and meta-analysis undertake a comparison of studies that examine the accuracy of robot-assisted dental implant placement in relation to static computer-assisted implant surgery (SCAIS), dynamic computer-assisted implan...

Correlation between intraosseous thermal change and drilling impulse data during osteotomy within autonomous dental implant robotic system: An in vitro study.

Clinical oral implants research
OBJECTIVES: This study aims at examining the correlation of intraosseous temperature change with drilling impulse data during osteotomy and establishing real-time temperature prediction models.

Feasibility and accuracy of a task-autonomous robot for zygomatic implant placement.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Zygomatic implants (ZIs) should be placed accurately as planned preoperatively to minimize complications and maximize the use of the remaining bone. Current digital techniques such as static guides and dynamic navigation are aff...

Deep learning and clustering approaches for dental implant size classification based on periapical radiographs.

Scientific reports
This study investigated two artificial intelligence (AI) methods for automatically classifying dental implant diameter and length based on periapical radiographs. The first method, deep learning (DL), involved utilizing the pre-trained VGG16 model an...

Dental implant brand and angle identification using deep neural networks.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Determining the brand and angle of an implant clinically or radiographically can be challenging. Whether artificial intelligence can assist is unclear.

Performance evaluation of deep learning models for the classification and identification of dental implants.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Dental implant systems can be identified using image classification deep learning. However, investigations on the accuracy of classifying and identifying implant design through an object detection model are lacking.

Semi-autonomous two-stage dental robotic technique for zygomatic implants: An in vitro study.

Journal of dentistry
OBJECTIVE: To assess the feasibility and accuracy of a semi-autonomous two-stage dental robotic technique for zygomatic implants.

The CNN model aided the study of the clinical value hidden in the implant images.

Journal of applied clinical medical physics
PURPOSE: This article aims to construct a new method to evaluate radiographic image identification results based on artificial intelligence, which can complement the limited vision of researchers when studying the effect of various factors on clinica...

Robot assisted implant surgery: Hype or hope?

Journal of stomatology, oral and maxillofacial surgery
The 21st century is characterized by accelerated technological innovation, resulting in digitization of most areas of medicine and dentistry. Dental implant surgical planning has evolved from using analog static guides to computer generated guides an...