Automating surgical guide design for single anterior implants powered by artificial intelligence - a clinical report

Area of Science:

• Dentistry
• Computer Science
• Artificial Intelligence

Background:

• Implant dentistry is evolving with artificial intelligence (AI) integration into digital workflows.
• Traditional surgical guide design is time-consuming and operator-dependent, involving manual segmentation and data alignment.
• AI offers potential improvements in accuracy, efficiency, and consistency for dental implant procedures.

Purpose of the Study:

• To present an AI-powered static computer-assisted implant surgery workflow.
• To demonstrate automated surgical guide design for accurate implant placement in the aesthetic zone.
• To evaluate the efficiency of AI in digital guide design for dental implants.

Main Methods:

• Utilized deep learning architectures for automated data processing in surgical guide design.
• Applied an AI-powered workflow for a single anterior implant case.
• Integrated cone-beam computed tomography and surface scan data for digital planning.

Main Results:

• AI-powered digital guide design was completed in 20 minutes.
• Demonstrated AI application beyond diagnostics to automated surgical guide design.
• Achieved accurate implant placement and immediate previsualization in the aesthetic zone.

Conclusions:

• AI-enhanced workflows show promise for improving predictability in implant dentistry.
• Automated surgical guide design using AI significantly reduces procedure time.
• Clinicians must perform manual verification to address potential data artefacts and algorithmic limitations.