Role of Artificial Intelligence to Maximize Esthetics and Function in the Restoration of Anterior Traumatic Dental Injuries

Abstract

Aim
To evaluate the effectiveness of AI-assisted planning and execution versus traditional techniques in restoring anterior traumatic dental injuries.
Methodology
Thirty patients were enrolled, with fifteen in the AI group and fifteen in the control group. Baseline characteristics were similar. Outcomes assessed included occlusal force distribution, aesthetics (VAS, PES/WES), chewing efficiency, periodontal health, marginal gap widths, complications, adjustment visits, and restoration survival over 6 and 12 months.
Results
The AI group showed improved occlusal balance, higher aesthetic scores, and greater chewing efficiency at all follow-ups. They had fewer complications, fewer adjustment visits, and a 100% restoration survival rate compared to 93.3% in the control group. Periodontal indices were similar, but marginal gaps were smaller in the AI group.
Conclusion
AI-assisted restorations provided superior functional and aesthetic results, required fewer clinical adjustments, and achieved higher survival rates, demonstrating clear advantages over traditional methods.