AIMC Topic: Dental Implants

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Memetic Search Optimization Along with Genetic Scale Recurrent Neural Network for Predictive Rate of Implant Treatment.

Journal of medical systems
Implant treatment is one of the most important surgical processes in teeth which reduces the difficulties in teeth by providing the interface between bone and jaw. The established implant treatment used to support the denture, bridge and teeth crown....

The role of artificial intelligence in implant dentistry: a systematic review.

International journal of oral and maxillofacial surgery
The aim of this systematic review was to comprehensively analyse recent studies on the application of artificial intelligence (AI) in dental implantology. The PRISMA guidelines were followed. Five databases were accessed: Scopus, Web of Science, MEDL...

Accuracy of robot and template systems in implant cases: A retrospective non-randomized controlled study.

Journal of dentistry
OBJECTIVES: This clinical study aimed to compare the accuracy of implant placement obtained using a robotic system and a full-guide template in patients with dentition defects.

Current Status and Future Perspectives of Robot-Assisted Dental Implant Surgery.

International dental journal
Dental implant surgery is now a well versed approach for tooth replacement, addressing various limitations of fixed bridges and removable dentures, thereby reinstating both the form and function of missing teeth. However, it is technically sensitive ...

Generative Artificial Intelligence in Dental Implants.

Studies in health technology and informatics
Generative Artificial Intelligence holds promising applications in dentistry, revolutionizing various aspects of patient care, treatment planning, and education. One key application is the creation of realistic 3D models of dental structures, enablin...

Artificial Intelligence-Based Detection and Numbering of Dental Implants on Panoramic Radiographs.

Clinical implant dentistry and related research
OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number imp...

Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles.

Dento maxillo facial radiology
OBJECTIVES: To develop and evaluate a deep learning (DL) model to reduce metal artefacts originating from the exomass in cone-beam CT (CBCT) of the jaws.

[Influencing factors of implant accuracy of oral implant robot].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
In recent years, robots have been gradually applied in the field of oral implantation. Compared with static guide and dynamic navigation, robot-assisted implant surgery has the characteristics of high precision, high stability and high safety, but th...

[Research of decision-making artificial intelligence for oral implantation].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
The oral implant surgery robot could achieved basic "surgical operation intelligence"; however, "decision-making artificial intelligence" has not yet been achieved. The author previously discussed the specific concept of decision-making artificial in...

Use of a Novel Artificial Intelligence Tool for Evaluating Primary Stability and Immediate Loading Suitability of Dental Implants: An In Vitro Pilot Study.

The International journal of oral & maxillofacial implants
PURPOSE: To evaluate the correspondence between output from a new artificial intelligence tool (AIT) and clinician evaluation regarding the immediate loading suitability of dental implants based on insertion torque curves recorded during implant plac...