Objective

To report the first clinical application of an integrated workflow combining artificial intelligence (AI) with mixed reality–based dynamic navigation (MR-DN) for guided dental implant placement in the anterior maxilla.

Methods

The proposed protocol integrates AI and MR-DN and comprises the following steps: (1) acquisition of three-dimensional (3D) datasets through intraoral scanning (IOS) and cone-beam computed tomography (CBCT); (2) AI-driven implant planning using dedicated software (Virtual Patient Creator®, Relu, Leuven, Belgium); (3) guided implant placement using a MR-DN system (ANNA®, Mars Dental AI, Haifa, Israel); and (4) post-operative accuracy assessment.

Results

The clinical integration of AI and MR-DN allowed accurate and time-efficient guided implant placement in the anterior maxilla.

Conclusions

This proof-of-concept study describes the first clinical application of an integrated AI and MR-DN approach for guided implant placement in the anterior maxilla. Further clinical investigations involving larger patient cohorts are warranted to validate these promising preliminary results.

Clinical relevance

The integration of AI with MR-DN may represent a paradigm shift in guided implant surgery, offering an accurate, time-efficient, user-friendly, and potentially cost-effective alternative to conventional static computer-assisted implant surgery (s-CAIS) and traditional dynamic navigation (DN) systems.

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