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Dental software classification and dento-facial interdisciplinary planning platform.

Christian Coachman1, Markus Bernhard Blatz1, Lauren Bohner2

  • 1Department of Preventive and Restorative Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Journal of Esthetic and Restorative Dentistry : Official Publication of the American Academy of Esthetic Dentistry ... [Et Al.]
|January 20, 2021
PubMed
Summary

This study introduces a new dental software classification based on the digital workflow timeline, focusing on patient case acceptance. It guides professionals in selecting optimal digital tools for enhanced treatment planning and execution.

Keywords:
CAD-CAMdental softwaredigital workflowinterdisciplinary simulationstreatment planning

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Area of Science:

  • Dentistry
  • Digital Health
  • Medical Informatics

Background:

  • Digital workflows in dentistry are underutilized in crucial treatment planning phases like diagnosis and risk assessment.
  • Current digital tools primarily support device manufacturing and clinical execution, not comprehensive planning.

Purpose of the Study:

  • To propose a novel dental software classification system based on the digital workflow timeline.
  • To identify ideal software tools for each phase of dental treatment planning, starting from patient case acceptance.

Main Methods:

  • Development of a classification system for dental software aligned with the digital workflow timeline.
  • Introduction of a dento-facial interdisciplinary planning platform for virtual simulation and decision support.

Main Results:

  • The proposed classification aids clinicians and labs in selecting appropriate software for treatment planning.
  • The classification facilitates integration of virtual plans with digital execution platforms.

Conclusions:

  • The classification system assists professionals in navigating the digital workflow and improving technology development.
  • Three-dimensional simulations enhance visualization of treatment impacts, improving predictability across various dental specialties.