STATEMENT OF PROBLEM: The use of artificial intelligence (AI) in dentistry has grown. However, the accuracy of clinical applications in implant dentistry is still unclear.
Clinical implant dentistry and related research
Jun 28, 2024
AIM: The aim of this work is to present a new protocol for implant surgical planning which involves the combined use of artificial intelligence (AI) and mixed reality (MR).
OBJECTIVES: To assess quality, clinical acceptance, time-efficiency, and consistency of a novel artificial intelligence (AI)-driven tool for automated presurgical implant planning for single tooth replacement, compared to a human intelligence (HI)-ba...
OBJECTIVES: To investigate the accuracy of conventional and automatic artificial intelligence (AI)-based registration of cone-beam computed tomography (CBCT) with intraoral scans and to evaluate the impact of user's experience, restoration artifact, ...
Precise reproduction of the preoperatively designed 3-dimensional (3D) implant position is key to seating a prefabricated restoration and restoring esthetics. Static and dynamic computer-aided implant surgery (CAIS) based on the fusion of 3D imaging ...
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.
Clinical implant dentistry and related research
Jan 29, 2024
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 ...
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.
Clinical implant dentistry and related research
Dec 27, 2023
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).
STATEMENT OF PROBLEM: With the increasing interest in the applications of robots in implant dentistry and an acceleration in disseminating information about this field and its applications, a comprehensive review of robots in implant dentistry has be...
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