AIMC Topic: Dental Implantation, Endosseous

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Novel AI-based automated virtual implant placement: Artificial versus human intelligence.

Journal of dentistry
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...

Accuracy of manual and artificial intelligence-based superimposition of cone-beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study.

Clinical oral implants research
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, ...

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 ...

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).

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...

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.