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A Virtual Patient-Based Workflow for Mandibular Stabilization Using a Virtual Articulator and Digital Splint.

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PubMed
Summary
This summary is machine-generated.

A new digital workflow digitally replicates conventional mandibular stabilization techniques using artificial intelligence (AI) for precise alignment. This method enhances accuracy and efficiency in dental treatments.

Keywords:
digital stabilization splintdigital workflowmandibular stabilizationvirtual articulatorvirtual patient

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Area of Science:

  • Digital Dentistry
  • Biomechanical Engineering
  • Artificial Intelligence in Healthcare

Background:

  • Conventional articulator-based workflows for mandibular stabilization are established but can be time-consuming.
  • Integrating digital technologies offers potential for increased precision and efficiency.

Purpose of the Study:

  • To introduce a fully digital workflow for mandibular stabilization.
  • To replicate the conventional articulator-based process in a virtual environment.
  • To integrate patient-specific 3D datasets and AI-assisted alignment.

Main Methods:

  • Unified virtual patient creation using intraoral scans, CBCT, and facial scans.
  • Virtual mounting of mandibular casts in centric relation using best-fit alignment.
  • Digital design and LCD 3D printing of stabilization splints with adjustable parameters.
  • Virtual face-bow transfer utilizing anatomical landmarks for maxillary cast orientation.

Main Results:

  • The digital workflow successfully achieves mandibular stabilization.
  • AI-assisted alignment, CAD, and validated 3D printing enhance precision and reproducibility.
  • Clinical follow-up confirms mandibular stability through digital centric relation registrations.

Conclusions:

  • The digital workflow maintains biomechanical objectives of conventional methods.
  • This protocol is reproducible and clinically feasible.
  • It bridges conventional occlusal principles with digital implementation, paving the way for AI-integrated therapies.